By jongwony
Analyze Claude Code sessions and projects to generate epistemic protocol coverage dashboards, growth maps with usage insights, behavioral dimension profiles matching philosophers, strength-shadow reports, and compose custom protocol chains using Lego-style blocks for optimized AI collaboration workflows.
Aggregate facets, session-meta, and slash command data across all sessions for coverage dashboard.
Analyze session data into 6 behavioral dimensions for philosopher matching and strength-shadow analysis.
Scan ~/.claude/projects/, read sessions-index.json, aggregate project metadata and secondary sources.
Extract tool usage patterns, rework indicators, and context snippets from session JSONL files.
Protocol handbook — instant reference for when to use each epistemic protocol.
Protocol composition authoring assistant — build composition SKILL.md files from protocol Lego blocks. Validates chains against graph.json, analyzes gate dispositions via the 3-axis model, and generates pipeline templates. Use when the user asks to 'compose protocols', 'create composition skill', 'build protocol chain', 'combine protocols', or wants to author a composition workflow like /review.
Discover the structural costs hidden in your strengths through behavioral dimension analysis, strength-shadow extraction, and attitude recommendations.
Comprehensive usage analytics and epistemic coverage dashboard across all sessions.
Quick protocol recommendation from recent sessions, or quest-based learning through scenario, trial, and quiz.
Uses power tools
Uses Bash, Write, or Edit tools
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When AI collaboration goes off-track, you redo everything. These protocols catch direction errors early — at the plan level, not the code level. Fix the direction, not the implementation.
Correcting a wrong direction at the plan level costs one conversation turn. At the code level, it costs hours of rework. These protocols insert structured checkpoints at decision points — intent, goal, context, perspective, execution — so you and AI stay aligned before committing to implementation.
Install all protocols and utilities:
curl -fsSL https://raw.githubusercontent.com/jongwony/epistemic-protocols/main/scripts/install.sh | bash
Then run /onboard — start with a quick recommendation based on your recent sessions, then optionally continue to guided learning with scenarios, trials, and quizzes.
Paste in Codex and run:
$skill-installer install these skills from jongwony/epistemic-protocols:
- prothesis/skills/frame
- syneidesis/skills/gap
- hermeneia/skills/clarify
- katalepsis/skills/grasp
- telos/skills/goal
- aitesis/skills/inquire
- horismos/skills/bound
- analogia/skills/ground
- prosoche/skills/attend
- epharmoge/skills/contextualize
- epistemic-cooperative/skills/onboard
Restart Codex, then start with $onboard.
onboard. /report, /dashboard, reflexion, write are not included.skill-installer pattern with one path.| Protocol | Command | When to use |
|---|---|---|
| Hermeneia | /clarify | AI keeps building what you didn't ask for |
| Telos | /goal | You know you want something but can't define success |
| Aitesis | /inquire | AI charges ahead without asking what it needs to know |
| Prothesis | /frame | Need to look at this from multiple angles, not sure which |
| Analogia | /ground | AI's advice sounds right in theory but unclear in your context |
| Syneidesis | /gap | About to commit but might be missing something |
| Prosoche | /attend | Want execution readiness checked and risky actions gated for your judgment |
| Epharmoge | /contextualize | AI's output is correct but doesn't fit your situation |
| Horismos | /bound | You need to define what you know vs what AI should figure out |
| Katalepsis | /grasp | AI made big changes and you need to actually understand them |
Concern clusters: Planning (/clarify, /goal, /inquire) · Analysis (/frame, /ground) · Decision (/gap) · Execution (/attend) · Verification (/contextualize) · Cross-cutting (/bound, /grasp)
| Plugin | Command | Purpose |
|---|---|---|
| Epistemic Cooperative | /onboard, /report, /dashboard | Protocol learning, usage analysis, and coverage dashboard |
Each protocol targets a specific point where AI collaboration can go wrong. For architecture details and design philosophy, see CLAUDE.md.
| Protocol | Greek | Meaning |
|---|---|---|
| Prothesis | πρόθεσις | Setting forth |
| Syneidesis | συνείδησις | Shared knowing |
| Hermeneia | ἑρμηνεία | Interpretation |
| Katalepsis | κατάληψις | Grasping, comprehension |
| Telos | τέλος | End, purpose |
| Horismos | ὁρισμός | A bounding |
| Aitesis | αἴτησις | Request, inquiry |
| Analogia | ἀναλογία | Proportion |
| Prosoche | προσοχή | Attention |
| Epharmoge | ἐφαρμογή | Application, fitting |
MIT
npx claudepluginhub jongwony/epistemic-protocols --plugin epistemic-cooperativeRoute upstream epistemic deficits and evaluate execution-time risks — /attend (προσοχή: attention)
Validate structural mapping between domains — /ground (ἀναλογία: a proportion)
Define epistemic boundaries per decision — /bound (ὁρισμός: a bounding)
Detect application-context mismatch after execution — /contextualize (ἐφαρμογή: an application)
Surface potential gaps at decision points — /gap (συνείδησις: knowing-together)
Achieve certain comprehension of AI work — /grasp (κατάληψις: a grasping firmly)
The epistemic-posture layer for AI coding agents. Ships the Reasoning Surface protocol, named failure-mode counters, operator profile schema, and workflow loop as Claude Code skills, agents, and hooks. Posture first. Kernel outlives the tooling.
Cognitive development toolkit for Claude Code: OpenSpec workflow management, context serialization, retrospective analysis, and tool orchestration.
AI mentor agent for vibe coders - analyzes Claude Code conversations with 6-axis skill evaluation (DECOMP/VERIFY/ORCH/FAIL/CTX/META), 7-level system (L1~L7, 0.5 increments), 4 workspace types (Builder/Explorer/Designer/Operator), and longitudinal growth tracking.
Structured thinking and multi-perspective deliberation tools
You work with me (Claude) - I guide your workflow and suggest next actions.