devlog

Dev Log - Session Summary

Log your coding session progress to Obsidian daily notes, organized by project.

Configuration

Read ~/.claude/settings.json and extract:

• env.OBSIDIAN_VAULT - Path to Obsidian vault
• env.SESSION_EXPORTS_BASE - External storage for session exports (default: ~/.claude/session-exports)

If OBSIDIAN_VAULT is not set, display: "Vault not configured. Run /vault first."

Read vault structure from <vault_path>/vault-config.yaml.

Paths used from vault-config.yaml:

• daily_notes → Daily Notes folder
• projects → Projects folder
• processed_coding → Vault location for lightweight summaries (full exports go to SESSION_EXPORTS_BASE)

Section format: ## Progress → ### [[Project Name]]

Slack Configuration (Optional)

• Default channel: bot
• To change: Update the channel name in Step 9 below

Rating Input

The rating is an optional assessment of how well Claude performed during the session.

Rating scale:

Rating	Meaning
7	Exceptional - exceeded expectations
6	Great - very helpful
5	Good - solid assistance
4	Okay - got the job done
3	Poor - struggled significantly
2	Bad - mostly unhelpful
1	Terrible - counterproductive

Input methods:

• As first argument: /devlog 5 or /devlog 5 --slack
• If not provided or invalid (outside 1-7), print the full rating scale and ask the user to type a number 1-7 (do NOT use AskUserQuestion — it only supports 4 options max)

Comment Input

An optional free-text comment providing qualitative feedback about the session. Can be provided inline after the rating (e.g., /devlog 5 great session). If omitted, the user is prompted. Stored as string or null. See Step 4 for full parsing rules.

Execution Steps

Step 1: Check Daily Note Exists

First, read <vault_path>/vault-config.yaml to get the daily_notes folder name.

Then check if today's daily note exists:

<vault_path>/<daily_notes>/YYYY-MM-DD.md

Use today's date in YYYY-MM-DD format.

If the file does NOT exist:

• Display this message to the user: "Today's daily note doesn't exist yet. Please create it in Obsidian first, then run /devlog again."
• Stop execution. Do not proceed further.

If the file exists: Continue to Step 1.5.

Step 1.5: Detect Git Worktree

Determine if the current working directory is a git worktree (e.g., .claude/worktrees/worktree-*):

GIT_DIR=$(git rev-parse --path-format=absolute --git-dir)
GIT_COMMON_DIR=$(git rev-parse --path-format=absolute --git-common-dir)

if [ "$GIT_DIR" != "$GIT_COMMON_DIR" ]; then
  IS_WORKTREE=true
  MAIN_REPO_PATH=$(dirname "$GIT_COMMON_DIR")
else
  IS_WORKTREE=false
  MAIN_REPO_PATH=$(pwd)
fi
# Guard: real worktrees always have /worktrees/ in GIT_DIR
[ "$IS_WORKTREE" = true ] && [[ "$GIT_DIR" != */worktrees/* ]] && IS_WORKTREE=false && MAIN_REPO_PATH=$(pwd)

MAIN_REPO_BASENAME=$(basename "$MAIN_REPO_PATH")
# Encoded path for session-exports directory (matches Claude's project-path encoding)
MAIN_PROJECT_PATH=$(echo "$MAIN_REPO_PATH" | sed 's|/|-|g')

• If worktree: IS_WORKTREE=true, MAIN_REPO_PATH points to the main repository root
• If not worktree: IS_WORKTREE=false, MAIN_REPO_PATH = CWD (no behavior change)

Use MAIN_REPO_BASENAME and MAIN_PROJECT_PATH in subsequent steps instead of CWD-derived values.

Step 2: Determine Project

Identify which project this session belongs to:

1. List all .md files in the Projects folder (<vault_path>/<projects> from vault-config.yaml)
2. Match the current session to a project using:
   • MAIN_REPO_BASENAME from Step 1.5 (e.g., personal-toolkit — uses main repo name even when running from a worktree)
   • Session context (what was worked on)
   • Read project markdown files if needed for clarity
3. Extract the project title from the markdown file's # Title heading
4. Use the exact title as a wikilink section header (e.g., ### [[Thought Organizer Agent]])

If no matching project found: Use "General" as the project name.

Step 3: Export Chat History

Export session to external storage (outside the vault) for future reference, with a lightweight summary in the vault.

Note: If session identification fails (session ID not resolved AND transcript not found), raise an error and DO NOT CONTINUE

Part A: Gather Session Information

1. Get current session info:

   • The session ID is provided via built-in template substitution: ${CLAUDE_SESSION_ID} (Claude Code replaces this literal with the actual UUID at skill load time -- no hooks needed)
   • Derive transcript path from the session ID:

     SESSION_ID="<the substituted UUID visible above>"
     TRANSCRIPT_PATH=$(find ~/.claude/projects/ -name "${SESSION_ID}.jsonl" -type f 2>/dev/null | head -1)
     

   • Derive project path from the transcript path:

     PROJECT_PATH=$(echo "$TRANSCRIPT_PATH" | sed "s|^$HOME/.claude/projects/||" | sed "s|/${SESSION_ID}.jsonl$||")
     

   • Fallback if the session ID above does not look like a valid UUID (e.g., template substitution failed):
     1. Compute tmp base: TMPBASE="${CLAUDE_CODE_TMPDIR:-/tmp/claude-$(id -u)}"
     2. Find the most recently modified session directory under $TMPBASE/ matching the CWD project
     3. Use its UUID directory name as the session ID
     4. Construct transcript path: ~/.claude/projects/{project-path}/{session-id}.jsonl

   Verify with content fingerprinting:

   Before proceeding, confirm the transcript actually contains THIS conversation. Multiple sessions can exist for the same project path, and the session ID may point to the wrong one.

   Build a session fingerprint (reused in Part B2 -- build it once, store for later):

   • 3-5 distinctive file paths that were read or edited during this session
   • 2-3 specific skill or tool names invoked (e.g., /stylize, /scribe)
   • Any unique terms from the conversation (project names, error messages, feature names)

   Score the candidate transcript by grepping for all fingerprint terms at once:

   grep -cE "term1|term2|term3|term4|term5" "$TRANSCRIPT_PATH"
   

   Count how many distinct terms matched (each term that appears at least once = 1 match).

   Decide:

   • Majority of terms match → PASS. Proceed with this transcript.
   • Fewer than half match → MISMATCH. Trigger fallback discovery (below).

   Fallback: Content-based session discovery

   If the primary transcript fails fingerprinting:

   1. List all .jsonl files in ~/.claude/projects/{project-path}/ modified in the last 24 hours:

      find ~/.claude/projects/{project-path}/ -maxdepth 1 -name "*.jsonl" -mtime -1
      

   2. Score each candidate with the same grep -cE approach. Track match counts per file.
   3. Pick the transcript with the highest match count.
   4. If the best candidate passes the majority threshold → use it. Log:

      Session ID transcript mismatch detected.
      Using transcript {session-id} based on content matching.
      

   5. If no candidate passes → stop and inform the user:

      Could not identify the correct session transcript.
      Please provide the session ID manually.
      

2. Detect previous transcripts (recursive with LLM verification):

   CRITICAL: Only count REAL continuation references, not casual mentions.

   Compaction vs Continuation: Compaction stays in the same JSONL file (same session ID). It writes a compact_boundary system message followed by a summary user message. The summary's "read the full transcript at:" path points to itself (self-reference). Continuation creates a new JSONL file pointing to the previous file. When discovery finds a self-referencing path (extracted path == file being searched), skip it — it's a compaction, not a separate transcript.

   A transcript reference is ONLY valid if it appears in a continuation message - either:

   • Plan-mode exit: User message starting with "Implement the following plan:"
   • Compaction/continuation summary: User message starting with "This session is being continued from a previous conversation"

   Both end with "read the full transcript at:" followed by the path.

   DO NOT count:

   • References in tool_result outputs (content is an array, not a string)
   • References in subagent results (appear inside tool_result arrays)
   • Assistant messages mentioning paths (type is "assistant")
   • Any other casual mention of transcript paths

   JSONL Structure Reference: Each line is a JSON object with fields:

   • type: "user", "assistant", "system", "progress", "queue-operation"
   • message.content: either a string (direct message) or array (tool results)
   • For queue-operation type: content is at top level (not nested in message)

   Step A: Find candidate lines

   grep -n "read the full transcript at:" <transcript.jsonl>
   

   Step B: Verify each candidate using JSON structure

   For each candidate line, examine the JSON:

   1. Parse the line as JSON
   2. Check: type == "user" OR type == "queue-operation"
   3. For "user" type: Check message.content is a string (NOT an array) For "queue-operation" type: Check content at top level (not nested)
   4. Check: Content contains either:
      • "Implement the following plan:" (plan-mode)
      • "This session is being continued" (compaction)
   5. If all checks pass → VALID continuation
   6. Extract path: grep -o "read the full transcript at: [^\"\\]*\.jsonl"

   Example verification:

   Line 2: {"type":"user","message":{"content":"Implement the following plan:...read the full transcript at: /path/to/abc.jsonl"}}
     ✓ type == "user"
     ✓ message.content is a string
     ✓ Contains "Implement the following plan:"
     → VALID plan-mode continuation → abc.jsonl
   
   Line 4: {"type":"queue-operation","content":"Implement the following plan:...read the full transcript at: /path/to/abc.jsonl"}
     ✓ type == "queue-operation"
     ✓ content is a string at top level
     ✓ Contains "Implement the following plan:"
     → VALID plan-mode continuation → abc.jsonl
   
   Line 356: {"type":"user","message":{"content":[{"type":"tool_result",...}]}}
     ✓ type == "user"
     ✗ message.content is an ARRAY (tool_result)
     → SKIP (false positive from grep output)
   

   Grep-based validation (using for-loop to avoid subshell issues):

   Note: Do NOT use jq for validation - JSONL lines often contain unescaped control characters (tabs, newlines) that cause jq parse errors. Use grep pattern matching instead.

   # IMPORTANT: Do NOT use "grep | while read" - the while loop runs in a subshell
   # and output is lost. Use a for-loop over line numbers instead.
   for linenum in $(grep -n "read the full transcript at:" "$TRANSCRIPT_PATH" | cut -d: -f1); do
     line=$(sed -n "${linenum}p" "$TRANSCRIPT_PATH")
   
     # Validate using grep pattern matching (not jq - avoids control char errors)
     # Check for either "user" type OR "queue-operation" type
     is_user=$(echo "$line" | grep -c '"type":"user"')
     is_queue=$(echo "$line" | grep -c '"type":"queue-operation"')
   
     if [ "$is_user" -eq 1 ]; then
       # For user type, content must be a string (not array)
       echo "$line" | grep -q '"content":"' || continue
     elif [ "$is_queue" -eq 1 ]; then
       # For queue-operation, content is at top level
       echo "$line" | grep -q '"content":"' || continue
     else
       continue
     fi
   
     # Check for valid continuation patterns and extract reference
     if echo "$line" | grep -q '"content":"Implement the following plan'; then
       ref=$(echo "$line" | grep -o 'read the full transcript at: [^"\\]*\.jsonl' | sed 's/read the full transcript at: //')
       # Skip self-references (compaction within same file)
       [ "$ref" = "$TRANSCRIPT_PATH" ] && continue
       [ -f "$ref" ] && echo "$ref"
     elif echo "$line" | grep -q '"content":"This session is being continued'; then
       ref=$(echo "$line" | grep -o 'read the full transcript at: [^"\\]*\.jsonl' | sed 's/read the full transcript at: //')
       # Skip self-references (compaction within same file)
       [ "$ref" = "$TRANSCRIPT_PATH" ] && continue
       [ -f "$ref" ] && echo "$ref"
     fi
   done
   

   Step C: Recursive discovery

   For each valid transcript found, repeat Steps A-B until no new transcripts are discovered.

   Step D: Determine chronological order using reference topology

   DO NOT use file modification times - they are unreliable. Use the reference chain: transcripts that are referenced but don't reference others come FIRST.

   Example from a real session:

   Discovery:
   - 830e4d0f (current) has plan implementation referencing de2864e0
   - de2864e0 has plan implementations referencing 2bb50f3b AND c9c826aa
   - c9c826aa has plan implementation referencing 2bb50f3b
   - 2bb50f3b has no plan implementation references (ROOT)
   
   Reference topology:
   - 2bb50f3b: referenced by c9c826aa and de2864e0, references nothing → ROOT
   - c9c826aa: referenced by de2864e0, references 2bb50f3b → SECOND
   - de2864e0: referenced by current, references both above → THIRD
   - 830e4d0f: references de2864e0 → CURRENT (last)
   
   Final order: 2bb50f3b → c9c826aa → de2864e0 → 830e4d0f
   

   Verification output: After discovery, list all found transcripts showing:

   • Line number where reference was found
   • Type (plan-mode or compaction)
   • The LLM's verification reasoning (type check, content type check, pattern match)

   Handling compaction: If the conversation context has been compacted (summarized), the continuation reference may not be visible in the current context. In this case:

   1. ALWAYS search the current JSONL file (derived from session ID) directly
   2. The JSONL file preserves all messages even after compaction
   3. Search for BOTH continuation patterns (plan-mode AND compaction)

   Detect compact_boundary entries for metadata:

   grep -n '"subtype":"compact_boundary"' "$TRANSCRIPT_PATH"
   

   Each match is a JSON line with type: "system", subtype: "compact_boundary", compactMetadata.trigger ("auto" or "manual"), and compactMetadata.preTokens. Collect these per-transcript for the compactions field in metadata.json.

3. Generate task title:

   • Extract short task description from plan or conversation
   • Convert to natural Title Case with spaces (e.g., "Fix clippings heading duplication" → "Clippings Fix")
   • Keep titles concise (2-4 words max)

Part B: Export to External Storage

4. Create external session folder:

   • Base path: {SESSION_EXPORTS_BASE}/{project-path}/ (expand ~ to $HOME)
   • Worktree handling: When IS_WORKTREE=true, use MAIN_PROJECT_PATH from Step 1.5 as the {project-path} instead of the transcript-derived path. This ensures exports land at the main repo's directory (e.g., -Users-henrybae-Files-Startup-Projects-personal-toolkit/).
   • Otherwise: Use PROJECT_PATH derived from the transcript path in Part A (e.g., "-Users-henrybae-Files-Startup-Projects-thought-organizer")
   • Folder name: {YYYY-MM-DD} {Project Name} {Task Title}/
   • Full path example: ~/.claude/session-exports/-Users-henrybae-Files-Startup-Projects-thought-organizer/2026-01-22 Thought Organizer Agent Clippings Fix/
   • If folder exists (same session, running devlog again), update files in place
   • Create with: mkdir -p "$EXPORT_PATH"
   • Note: Transcripts are still READ from their actual location (which may be the worktree-encoded path in ~/.claude/projects/). Only the export DESTINATION changes.

5. Copy transcripts:

   • If no previous transcripts: copy current as session.jsonl
   • If previous transcripts found: copy all in chronological order (oldest first)
     • Name by position: session-1.jsonl, session-2.jsonl, etc. (simplest, always works)
     • Current session is always last (highest number)
     • Example: 4 sessions → session-1.jsonl, session-2.jsonl, session-3.jsonl, session-4.jsonl

6. Detect and copy plan files:

   • Read ALL transcripts in the chain (including current)
   • Search for pattern "slug":"[^"]*" to extract ALL unique plan slugs
   • For each unique slug:
     • Construct path: ~/.claude/plans/<slug>.md
     • If file exists, copy to export folder
   • Naming convention:
     • Single plan: plan.md
     • Multiple plans: plan-1.md, plan-2.md (in chronological order)
   • Skip gracefully if no plan slugs found or files don't exist
   • Extract title: Read first # heading from each plan file
   • Note on shared slugs: Multiple sessions often share the SAME plan slug (the plan file gets overwritten each time). This means you may only have 1 plan file even with multiple sessions. This is expected - the final plan file contains the most recent plan content.

7. Copy session folder contents (subagents, tool-results, etc.):

   • For each transcript session ID in the chain:
     • Construct session folder path: ~/.claude/projects/{project-path}/{session-id}/ (project-path is derived from transcript path, e.g., "-Users-henrybae-Files-Startup-Projects-thought-organizer")
     • Check if folder exists: ls -d "$session_folder" 2>/dev/null
     • If exists, copy entire folder contents recursively to export: cp -r "$session_folder"/* "$EXPORT_PATH/"
   • This captures:
     • subagents/ - Subagent JSONL transcripts (Explore, Plan, etc.)
     • tool-results/ - Large tool outputs
     • Any future data Claude Code might add

8. Capture CLAUDE.md configuration files:

   Discover and copy CLAUDE.md files that were active during the session. {project_path} below refers to MAIN_REPO_PATH from Step 1.5.

   1. Check for global: ~/.claude/CLAUDE.md
   2. Check for project root: {project_path}/CLAUDE.md
   3. Check for project .claude dir: {project_path}/.claude/CLAUDE.md
   4. Worktree only (if IS_WORKTREE=true): Also check the worktree CWD for CLAUDE.md files that may differ from the main repo (e.g., worktree-specific .claude/CLAUDE.md)

   For each that exists:

   • mkdir -p "$EXPORT_PATH/claude-md"
   • Copy with descriptive names:
     • Global → claude-md/global.md
     • Project root → claude-md/project.md
     • Project .claude dir → claude-md/project-dot-claude.md
   • Build metadata entries: {"scope": "global|project|project-dot-claude", "source": "/abs/path", "file": "claude-md/global.md"}
   • If no files found, skip (omit claude_md from metadata)

9. Detect subagent information for metadata:

   • After copying, check if $EXPORT_PATH/subagents/ exists
   • If exists, list all agent-*.jsonl files
   • For each subagent file, extract:
     • Agent ID (from filename: agent-{id}.jsonl)
     • Slug (from first line of JSONL: "slug":"...")
     • Session ID (from first line of JSONL: "sessionId":"...")
     • Session number (map session_id to phase order, e.g., if session_id matches phases[1].session_id → session_num=2)

10. Extract git commits made during session:

Step A: Detect session-relevant git repos

Only track repos where files were actually created, edited, or committed during this session (including continuations from previous transcripts in the chain). Do NOT blindly scan all subdirectories.

CRITICAL: CWD being a git repo does NOT automatically make it session-relevant. Pre-existing uncommitted changes (those already present in the gitStatus snapshot at session start) do NOT count. Editing files outside any git repo (e.g., ~/.claude/settings.json) does NOT make CWD session-relevant.

1. Analyze the full session context (current transcript + all continuation transcripts) to identify which repositories were touched:
   • Which directories were files created or edited in?
   • Where were git commands (commit, push, etc.) run?
   • What repo paths appear in tool calls and results?
   • For worktree agents: identify the main repo the worktree was created from
   • Cross-check with gitStatus: If CWD repo's uncommitted changes ALL appear in the session-start gitStatus, they are pre-existing — do NOT count CWD as session-relevant
2. Verify each identified repo with git -C <path> rev-parse --git-dir
3. If CWD is a git repo AND was worked on during this session → single-repo mode
   • Worktree: When IS_WORKTREE=true, use MAIN_REPO_PATH from Step 1.5 as the CWD repo path (not the worktree directory)
   • Optionally record sub-repos as untracked_repos (informational only)
4. If CWD is not a git repo OR was not worked on during this session → only track the repos identified from session context
5. If no repos identified → git: null, skip rest of Step 10

Step B: Check repo cleanliness (session-relevant repos only)

Only check repos identified in Step A — ignore unrelated repos entirely.

B1: Uncommitted changes

• Run git -C "$repo_path" status --porcelain for each session-relevant repo
• If any is dirty → block and list which repos:

  Uncommitted changes detected in:
    - claude-config
  Commit your changes first, then run /devlog again.
  

B2: Unpushed commits

• For each session-relevant repo: git -C "$repo_path" log @{u}..HEAD --oneline 2>/dev/null
• If upstream isn't set (command fails), skip this check for that repo
• If any has unpushed commits → block and list which repos:

  Unpushed commits detected in:
    - claude-config (3 commits ahead)
  Push your changes first, then run /devlog again.
  

Priority: Check uncommitted first (must commit before push). Only check unpushed if all session-relevant repos are clean.

Step C: Get session start timestamp

Extract the first timestamp from the oldest transcript in the session chain:

# Skip line 1 (file-history-snapshot has no timestamp), get timestamp from line 2
head -2 "$OLDEST_TRANSCRIPT" | tail -1 | python3 -c "import sys,json; print(json.loads(sys.stdin.read())['timestamp'])"

The timestamp format is ISO 8601: 2026-01-27T23:51:46.497Z

Step D: Query commits per-repo

For each tracked repo:

git -C "$repo_path" log --all --since="$SESSION_START_TIMESTAMP" --format="%H" --reverse

• --all searches across all branches (catches commits made in worktrees)
• --reverse ensures commits are in chronological order (oldest first)
• %H gives full commit hashes

Step E: Build per-repo tracking data

For each tracked repo with commits:

commits = [hash1, hash2, ...]  # chronological order
start_commit = $(git -C "$repo_path" rev-parse commits[0]^)  # parent of first commit
end_commit = commits[-1]  # last commit
commit_range = "start_commit..end_commit"
remote = $(git -C "$repo_path" remote get-url origin 2>/dev/null)  # null if no remote
name = basename of repo_path

Edge case - if first commit has no parent (initial commit):

git -C "$repo_path" rev-parse $FIRST_COMMIT^ 2>/dev/null || echo "ROOT"

If ROOT, set start_commit: null and commit_range: "..end_commit"

If no commits found for a repo, exclude it from repos[].

Step F: Filter commits by conversation context (per-repo)

Apply the LLM-based conversation-context filter independently per repo.

1. Get commit messages for all commits found in each repo:

   git -C "$repo_path" log --format="%H %s" <commit1> <commit2> ...
   

2. Compare each commit against the current conversation context:

   • What task was discussed/worked on?
   • What files were mentioned or edited?
   • What was the goal of this chat session?

3. For each commit, determine if it matches:

   • MATCH: Commit message references the same task, files, or feature discussed in this conversation
   • NO MATCH: Commit is unrelated (different feature, different task, made in a different chat)

4. Only include matching commits in the repo's tracking data

5. Discard repo entries with zero matching commits after filtering

Example (multi-repo):

claude-config: fa31b22 "Bump devlog schema" → MATCH, e7c9d01 "Update slackbot" → NO MATCH
personal-toolkit: 3a8f1cc "Rewrite Step 9 for multi-repo" → MATCH

Step G: Assemble git object

• repos[] = all repos with matching commits after filtering
• untracked_repos = sub-repos found in single-repo mode (if any); omit field if none found
• If no repos have commits after filtering → git: null
• See SCHEMA.md v0.11 for field structure and examples

11. Create metadata.json:

{
  "schema_version": "0.11",
  "date": "2026-01-22",
  "project": "Thought Organizer Agent",
  "project_slug": "thought-organizer",
  "project_path": "/Users/henrybae/Files/Startup/Projects/thought-organizer",
  "worktree": {
    "path": "/Users/henrybae/Files/Startup/Projects/thought-organizer/.claude/worktrees/worktree-feature",
    "name": "worktree-feature"
  },
  "task": "Fix clippings heading duplication",
  "task_title": "Clippings Fix",
  "rating": 5,
  "comment": "Solid session but got stuck on type inference",
  "phases": [
    {"name": "planning", "file": "planning.jsonl", "session_id": "aaa"},
    {"name": "implementation-1", "file": "implementation-1.jsonl", "session_id": "bbb"}
  ],
  "plan_files": [
    {
      "slug": "virtual-strolling-bee",
      "file": "plan-1.md",
      "title": "Plan: Add Plan File Export to Devlog",
      "phase": "planning"
    }
  ],
  "subagents": [
    {"agent_id": "a946520", "slug": "joyful-splashing-lake", "session_id": "aaa", "session_num": 1},
    {"agent_id": "b123456", "slug": "gentle-flowing-river", "session_id": "bbb", "session_num": 2}
  ],
  "git": {
    "repos": [
      {
        "name": "thought-organizer",
        "path": "/Users/henrybae/Files/Startup/Projects/thought-organizer",
        "remote": "https://github.com/BaeHenryS/thought-organizer.git",
        "start_commit": "9b75d4a",
        "end_commit": "def5678",
        "commits": ["abc1234", "def5678"],
        "commit_range": "9b75d4a..def5678"
      }
    ]
  },
  "compactions": [
    {"file": "session-2.jsonl", "line": 430, "timestamp": "2026-03-11T09:24:10.107Z", "trigger": "auto", "pre_tokens": 169072}
  ],
  "claude_md": [
    {"scope": "global", "source": "/Users/henrybae/.claude/CLAUDE.md", "file": "claude-md/global.md"},
    {"scope": "project", "source": "/Users/henrybae/Files/Startup/Projects/thought-organizer/CLAUDE.md", "file": "claude-md/project.md"}
  ],
  "files_modified": {
    ".": ["src/clipper.py"]
  },
  "outcome": "completed"
}

Schema reference: See SCHEMA.md in this skill folder for version history and field documentation.

• For single-phase sessions, use [{"name": "session", "file": "session.jsonl", "session_id": "xxx"}]
• Phases array must list transcripts in chronological order (oldest → newest)
• plan_files array: include only if plan files were exported
• subagents array: include only if subagent files were found
• compactions array: include only if compact_boundary entries were found in any transcript
• claude_md array: include only if CLAUDE.md files were found
• worktree object: include only when IS_WORKTREE=true from Step 1.5 (contains path and name); omit entirely when not in a worktree
• project_path: always uses MAIN_REPO_PATH from Step 1.5 (main repo path, not worktree path)
• git object: uses repos[] array (even single-repo = one element); set to null if no commits or no git repos
• files_modified: Object (dict) keyed by directory path. Use "." for files within CWD (with repo-prefixed paths in multi-repo mode, e.g., "claude-config/skills/devlog/SKILL.md"). For files outside CWD, use ~-relative directory paths as keys (e.g., "~/Library/CloudStorage/.../Segment-B-Bookface": ["spotify.md", "netflix.md"]). See SCHEMA.md v0.11 for full specification and examples.

Part B2: Verify Exported Transcripts

After all files are exported and metadata.json is written, verify the copied transcripts actually contain this conversation's content.

Step 1: Reuse the session fingerprint built in Part A (Step 3, item 1). Add the approximate conversation flow (e.g., "started with planning, then implemented X, then fixed bug Y").

Step 2: Launch verification agent

Agent tool:
  subagent_type: "Explore"
  description: "Verify exported transcripts"
  prompt: |
    Verify that the exported session transcripts in {EXPORT_PATH}
    contain the conversation from my current session.

    Session fingerprint:
    - Topics: {list of 3-5 topics from fingerprint}
    - Files touched: {list of key files from fingerprint}
    - Key actions: {list of notable things done from fingerprint}
    - Flow: {brief conversation arc from fingerprint}

    Verification approach:
    1. Use grep to count mentions of key topics across session-*.jsonl files
       (e.g., grep -c "topic_keyword" session-*.jsonl)
    2. Use grep to confirm each key file path appears in the transcripts
    3. Use targeted reads (head/tail) on each JSONL to verify the
       conversation flow matches (start of earliest, end of latest)
    4. Check line counts (wc -l) to confirm transcripts are non-trivial

    Return:
      PASS - with a brief summary of evidence (topic counts, files found,
             line counts, flow confirmation)
      WARN - if something seems off, with a brief explanation

Step 3: Handle result

• If PASS → continue silently to Part C
• If WARN → display the warning to the user, then continue to Part C anyway:

  Transcript verification warning:
    [warning details from agent]
  Continuing with devlog. Review exported files if needed.
  

Part C: Create Vault Summary (Lightweight)

12. Determine vault summary path:

    • Location: <vault_path>/<processed_coding>/{YYYY-MM-DD} {Project Name} {Task Title}.md
    • CRITICAL: This MUST be a single flat .md file, NOT a folder. NEVER create a summary.md inside a directory. The path ends in .md.

13. Write vault summary file:

---
date: 2026-01-22
project: Thought Organizer Agent
task: Fix clippings heading duplication
rating: 5
comment: "Solid session but got stuck on type inference"
session_path: /Users/henrybae/.claude/session-exports/-Users-henrybae-Files-Startup-Projects-thought-organizer/2026-01-22 Thought Organizer Agent Clippings Fix/
categories:
  - "[[Coding]]"
---

## Summary
[2-3 sentence summary of what was accomplished]

## Key Changes
- [Major change 1]
- [Major change 2]

## Files Modified
- `path/to/file1.py`
- `path/to/file2.md`

If files span multiple directories (cross-directory work), group under directory headers:

## Files Modified

### ./
- `src/main.py`

### ~/Library/CloudStorage/.../Segment-B-Bookface/
- 66 files (spotify.md, netflix.md, stripe.md, ...)

---
**Full session:** [Open in Finder](file:///Users/henrybae/.claude/session-exports/-Users-henrybae-Files-Startup-Projects-thought-organizer/2026-01-22%20Thought%20Organizer%20Agent%20Clippings%20Fix/)

Multi-repo vault summary: When multiple repos have commits, group Key Changes by repo:

## Key Changes

### claude-config
- [Change in claude-config]

### personal-toolkit
- [Change in personal-toolkit]

If only one repo has commits (even in multi-repo mode), keep the flat format without sub-headers.

For ## Files Modified, group files by directory when they span multiple locations. For files within CWD, use relative paths (with repo prefix in multi-repo mode). For files outside CWD, show the ~-relative directory path as a sub-header. When a directory has many files (>10), summarize with count and a few examples instead of listing all.

Comment in frontmatter: Only include comment: if non-null. Wrap in quotes for YAML safety.

Important: Use the full absolute path (expand ~ to $HOME) for the file:// URL to work in Obsidian.

Vault summary notes:

• Only the summary file lives in the vault (no JSONL, no metadata.json)
• Include session_path in frontmatter for programmatic access
• Include plain-text path at bottom for easy navigation
• No wikilinks to external files (they won't resolve)

External folder structure:

~/.claude/session-exports/
└── {project-path}/                    # e.g., "-Users-henrybae-Files-Startup-Projects-thought-organizer"
    └── {YYYY-MM-DD} {Project Name} {Task Title}/  # e.g., "2026-01-27 Personal Toolkit Devlog Fix"
        ├── metadata.json
        ├── session.jsonl              # Main transcript (or session-1.jsonl, etc.)
        ├── plan.md                    # (if exists)
        ├── claude-md/                 # (if exists - CLAUDE.md files)
        │   ├── global.md
        │   └── project.md
        └── subagents/                 # (if exists - copied from session folder)
            └── agent-*.jsonl
        └── tool-results/              # (if exists - copied from session folder)
            └── toolu_*.txt

Vault folder structure (lightweight):

<vault>/Processed/Coding/{YYYY-MM-DD} {Project Name} {Task Title}.md   # Links to external session

Store the session path (e.g., ~/.claude/session-exports/-Users-henrybae-Files-Startup-Projects-thought-organizer/2026-01-22 Thought Organizer Agent Clippings Fix/) for use in Step 6.

Step 4: Get Rating and Comment

1. Parse arguments: Strip --slack flag first, then:
   • First token: try to parse as rating (integer 1-7)
   • Remaining tokens after rating: join as comment string
   • Examples:
     • /devlog 5 great pair programming session → rating=5, comment="great pair programming session"
     • /devlog 5 worked well but got stuck on types --slack → rating=5, comment="worked well but got stuck on types", slack=true
     • /devlog 5 → rating=5, comment: prompt user
     • /devlog → prompt for rating, then prompt for comment
2. Get rating (if not provided inline):
   • Print the rating scale and ask the user to type a number:

   Rate this session (1-7):
     7 - Exceptional (exceeded expectations)
     6 - Great (very helpful)
     5 - Good (solid assistance)
     4 - Okay (got the job done)
     3 - Poor (struggled significantly)
     2 - Bad (mostly unhelpful)
     1 - Terrible (counterproductive)
   

   Do NOT use AskUserQuestion for this — it caps at 4 options and produces inconsistent groupings. Wait for the user to reply with a number, then validate it is 1-7.
3. Get comment (if not provided inline):
   • Print: "Any comment? (Enter to skip)"
   • If user presses Enter or provides empty input → store null
   • Otherwise store the user's text as the comment string
4. Store both rating and comment for use in subsequent steps

Step 5: Analyze Chat History

Review the current conversation to identify:

1. Learnings: Technical insights, concepts discovered, patterns understood
2. Accomplishments: Code written, bugs fixed, features implemented, tasks completed

Step 6: Display Terminal Output

Output the rating AND both sections to the terminal:

## Session Rating: X/7 (Meaning)
> "comment text here"

## What I Learned
- [Learning 1]
- [Learning 2]

## What I Shipped
- [Accomplishment 1]
- [Accomplishment 2]

Replace X with the rating number and (Meaning) with the corresponding description from the rating scale (e.g., "5/7 (Good - solid assistance)").

Only show the comment blockquote if the comment is non-null.

Keep bullet points concise (one line each).

Step 7: Append to Daily Note

Read the current daily note and append to the project's section under ## Progress.

Constraints:

• Write ONLY accomplishments (not learnings)
• One top-level bullet summarizing the session, with rating and session log link
• For substantial sessions, add up to 3 concise sub-bullets ( -) highlighting key items — use your discretion; skip sub-bullets for simple single-task sessions
• Include rating inline: (X/7) after the top-level summary
• Include markdown link (NOT wikilink) to vault summary: ([Session Log](Processed/Coding/{filename}.md))
  • Use markdown links to keep session logs invisible in the Obsidian graph
  • The vault summary file contains session_path linking to the full external session
  • Use the filename WITH .md extension (e.g., 2026-01-11 Thought Organizer Feature Name.md)
• Use checkbox format:
  • - [x] for completed items
  • - [ ] for in-progress/incomplete items

Locating/Creating Sections:

1. Find the ## Progress section (top-level, NOT under ## Notes)
   • If it doesn't exist, create it (place before ## Weekly Tracking if present, otherwise at end of file)
2. Look for ### [[Project Name]] under ## Progress (case-insensitive match on project name)
   • If the project section exists: append new items below existing content
   • If it doesn't exist: create it under ## Progress

Format to write:

## Progress

### [[Thought Organizer Agent]]
- [x] Rewrote clippings pipeline and fixed heading bugs (5/7) ([Session Log](Processed/Coding/2026-01-11 Thought Organizer Agent Clippings Fix.md))
  - Replaced regex parser with markdown AST
  - Fixed duplicate heading insertion on re-import
  - Added unit tests for edge cases

### [[Video Generation Pipeline]]
- [x] Added audio sync feature (6/7) ([Session Log](Processed/Coding/2026-01-11 Video Generation Pipeline Audio Sync.md))

After appending, confirm to the user that their progress has been logged.

Step 8: Send Slack Notification (Optional)

Skip this step unless: User invoked /devlog --slack

After logging is complete, send a summary to Slack:

1. Format the message using "What I Shipped" from Step 5:

   📝 *Devlog: {PROJECT_NAME}*
   
   {TASK_SUMMARY}
   
   *Shipped:*
   • {ACCOMPLISHMENT_1}
   • {ACCOMPLISHMENT_2}
   ...
   

2. Invoke the slackbot skill: Use the Skill tool to call: /slackbot #{CHANNEL} "{formatted_message}"

   Use the channel from "Slack Configuration" above.

3. Confirm to user: "Slack notification sent to #{CHANNEL}"

Step 9: Final Confirmation

After all steps complete, provide a brief final confirmation to the user that includes the session rating.

Important Rules

1. Never create the daily note file - User must create it first
2. Always use today's date - Regardless of when work started
3. 1 top-level bullet - Summarize the session; add sub-bullets only for substantial multi-task sessions
4. Concise - Top-level bullet is one short line; sub-bullets are brief fragments
5. Checkbox status matters - Use [x] for done, [ ] for incomplete
6. Slack is opt-in - Use --slack to send notification
7. Use Write tool for files - Never use Bash heredocs; they fail in sandbox mode