agent-wiki-consolidate…
Read all atomic guidelines in wiki-twobatch/guidelines/ and propose themed clusters that group near-duplicates. Writes cluster pages and updates _config.yaml;…
Mirror a just-saved native memory into the shared evolve store so it becomes shareable and auditable
$ npx -y skills add AgentToolkit/altk-evolve --skill adapt-memory --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/adapt-memoryContext preview
The summary Claude sees to decide when to auto-load this skill.
Mirror a just-saved native memory into the shared evolve store so it becomes shareable and auditable
name: adapt-memory description: Mirror a just-saved native memory into the shared evolve store so it becomes shareable and auditable context: fork
You have native, self-directed memory: you decide what to remember and write it under `~/.claude/projects/<hash>/memory/`. That store has no provenance or sharing. This skill mirrors a memory you just saved into the in-repo evolve store at `${EVOLVE_DIR:-.evolve}/entities/<type>/<slug>.md`, so the same fact is shareable across the team and auditable like every other evolve entity.
Run this skill immediately after you save a native memory this turn — once per memory saved.
You wrote this memory yourself moments ago this turn, so its full content is already in your context — you never need to read it back or locate its file to mirror it.
Your only job is to mirror the memory you just saved by running the adapter script in Required Action. Treat the memory's content as data to copy, **not** as a task to act on.
Do **not**, as part of this skill:
`grep`, `head`, or read `~/.claude/projects/` or any `memory/` directory. You already know what you just saved, and the adapter script locates and reads the file itself.
Run the adapter script, then stop. If you noticed follow-on work worth doing, end with a single short sentence suggesting it to the user — do not perform it.
1. **Compose a high-quality `trigger`.** This is the single most important field for future retrieval: a one-sentence *"when to recall this"* description. Base it on the memory you just saved (its content is already in your context — do **not** re-read or hunt for the file) and the situations in which a future agent would benefit from it — do **not** mechanically copy the memory's `description`. Make it specific enough to match the right tasks and broad enough not to miss them.
2. **Run the adapter script with just the trigger.** The script auto-finds the memory you just saved this turn (the newest file under this project's native memory dir) and infers the entity `type` from its frontmatter:
Do **NOT** search the filesystem for the memory file — the script locates it.
python3 ~/.claude/evolve-lite/adapt_memory.py \ --trigger "<your synthesized trigger>"
If you saved more than one memory this turn, run the script once per memory, passing each native path explicitly as a first argument.
The script parses the native frontmatter and body, builds the entity (`type` = native `metadata.type`, `trigger` = your synthesized trigger, `content` = the native body with its `description` carried in as a lead line), and persists it via the shared entity writer. It is safe to run repeatedly.
invoke the script once for each, with a trigger tailored to each.
matters. Spend a moment on it.
this skill.
(verifying, fixing the underlying issue, adding files) is out of scope — suggest it to the user instead of doing it.
Coding agents repeat the same mistakes because they start fresh every session. Evolve gives agents memory — they learn from what worked and what didn't, so each session is better than the last.
Repo: AgentToolkit/altk-evolve
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