compound-graduate

Included with Lifetime

$97 forever

Promote accumulated knowledge into living context. Use when the user says "graduate knowledge", "promote lessons", "update CLAUDE.md from what we've learned", "what should be in my CLAUDE.md", "compound graduate", "improve the system from my notes", or after a run of captures when patterns recur. Scans the read corpus (solutions + wiki theses) and proposes concrete edits to CLAUDE.md / AGENTS.md. Not for capturing (use compound-capture) or searching (use compound-retrieve).

General

What this skill does

# Compound Graduate (promote)

## Goal

Close the compound loop's "improve" edge: turn captured knowledge into visible improvements to
the always-loaded living context (`CLAUDE.md` / `AGENTS.md`). This is the *promote* face. The
garden/prune face is future work and out of scope here.

## When to run

After enough knowledge has accumulated that patterns recur, or on explicit request. Promotion
edits the file read every session, so it is high-trust: always propose before applying.

## Workflow

1. **Resolve the corpus.** Run the resolver to get the read corpus and semantic root:

```bash
python ${CLAUDE_PLUGIN_ROOT}/scripts/resolve_paths.py
```

Use `read_paths` as the scan corpus and `vault_root` (if set) for semantic queries.

2. **Gather candidates** (prefer the most synthesized layer first):
- Theses with frontmatter `confidence: solid` (then `evolving`) under any `wiki/theses/`
directory in `read_paths`. Read the YAML `confidence:` field — do NOT grep for inline
`[solid]` markers; wiki pages encode confidence in frontmatter, not the body.
- High-severity solution files (`severity: critical` or `severity: high`) and any
`critical-patterns.md` in `read_paths`.
- Use `Grep` for keywords; when `vault_root` is set, use the `vault-recommender` MCP for
topic clusters keyword search would miss. See `references/promote-workflow.md` for the
two confidence conventions and full candidate heuristics.

3. **Identify the target.** Use `CLAUDE.md` at the project root if present, else `AGENTS.md`.

4. **Propose, do not apply yet.** For each candidate draft a concrete, minimal, evergreen edit
to the target (one pattern; no temporal phrasing like "recently" or "now we"). Show the
proposed diff and get confirmation. **Never edit wiki files here** — promote *reads* theses;
only `wiki-ingest` *writes* the wiki.

5. **Apply confirmed edits** with `Edit`. The propose-before-apply gate above is for the
living context (`CLAUDE.md` / `AGENTS.md`). Elevating a broadly-useful pattern into
`{write_path}/critical-patterns.md` is lower-trust and may be applied directly, then
reported — see `references/promote-workflow.md`.

6. **Verify each promotion:** ask *"would the system catch this automatically next session now
that it lives in the always-loaded context?"* If not, refine the edit.

See `references/promote-workflow.md` for candidate heuristics, the propose-then-apply protocol,
and the verification checklist.

## Additional Resources

- `scripts/resolve_paths.py` — resolves `write_path`, `read_paths`, `vault_root` from config.
- `references/promote-workflow.md` — detailed promotion procedure.

Files: 2

Size: 6.2 KB

Complexity: 28/100

Category: General

Source: https://github.com/joshuaoliphant/claude-plugins/tree/main/plugins/compound-knowledge/skills/compound-graduate

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