From context-checkpoint
This skill should be used when the user asks to "load context", "restore session", "resume work on X", "load saved context", "recall X", "bring back X", "continue where we left off on X", "load X", "restore X", or "open context X". Use when the user references a previously saved work state by name.
How this skill is triggered — by the user, by Claude, or both
Slash command
/context-checkpoint:load-contextThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Load a previously saved context from `.memory/<name>.md` in the current working directory and actively re-establish it in the conversation.
Load a previously saved context from .memory/<name>.md in the current working directory and actively re-establish it in the conversation.
Extract the name from the user's prompt using the same kebab-case normalization as save-context (e.g., "auth work" → auth-work).
If no name was given, list available contexts and ask the user which to load:
ls .memory/*.md 2>/dev/null
Present the names without the .md extension and without the .memory/ path prefix.
If the file doesn't exist (.memory/<name>.md not found), list available contexts and suggest the closest match by name similarity. Do not fail silently.
Read .memory/<name>.md using the Read tool.
Present the loaded context in two parts:
After displaying the file, restate the key points in 2–3 sentences:
Loaded auth-work (saved 2026-04-21). We were implementing JWT authentication middleware — the core logic in
middleware.tsis done and tests pass. The remaining work is creating the PR and adding an integration test.
Tailor this summary to what's most immediately actionable — prioritize Current State and Next Steps from the file. If the file has a Notes section with blockers or caveats, mention those too.
This positions the conversation to continue naturally. The user should be able to say "ok, let's do the next step" without needing to explain anything further.
npx claudepluginhub adeotek/claude-code --plugin context-checkpointGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.