session-memory
Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end.
npx skills add a5c-ai/babysitter --skill session-memory --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Iron Law EVERY WORKFLOW MUST: 1. LOAD memory at START (and before key decisions) 2. UPDATE memory at END (and after learnings/decisions) ## Stable Edit Anchors Safe section headers for Edit operations: - activeContext: `## Recent Changes`, `## Learnings`, `## References` - patterns: `## Common Gotchas`, `## Project SKILL_HINTS` - progress: `## Completed`, `## Verification` ## Read-Edit-Verify Pattern 1. Read file 2. Verify anchor exists 3. Edit with exact `old_string` 4. Read back to confirm ## Tool Rules - Use `Write()` for NEW files (permission-free) - Use `Edit()` for EXISTING files (permission-free) - Never use `Write()` to overwrite existing files - Never compound commands (`mkdir && cat`) ## When to Use - At the start of every CC10X workflow (load) - At the end of every CC10X workflow (update) - Before making key decisions (check patterns) - After discovering learnings or gotchas (persist) ## Agents Used All CC10X agents use this skill. The cc10x-router manages load/update lifecycle.
- Iron Law
- Stable Edit Anchors
- Read-Edit-Verify Pattern
- Tool Rules
- When to Use
- Agents Used
What does the session-memory skill do?
Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill session-memory --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.