skill-curate
The skill-curate Claude Code skill initiates periodic reviews of accumulated skill evidence and lifecycle state within the Mnemon skill loop system. Use this skill when GUIDE.md indicates that skill evidence review is due, triggering the mnemon-skill-curator subagent to examine active, stale, and archived skills alongside usage data, then generate proposals for skill creation, patching, consolidation, or archival without directly applying changes.
git clone --depth 1 https://github.com/mnemon-dev/mnemon /tmp/skill-curate && cp -r /tmp/skill-curate/harness/loops/skill/skills/skill-curate ~/.claude/skills/skill-curateSKILL.md
# skill-curate Use this skill when `GUIDE.md` indicates that accumulated skill evidence should be reviewed. ## Boundary This skill starts review. It should normally spawn the `mnemon-skill-curator` subagent or prepare the exact review request for a host-specific subagent mechanism. It does not directly apply lifecycle changes. Approved changes are applied with `skill-manage`. ## Procedure 1. Resolve runtime paths from `MNEMON_SKILL_LOOP_DIR`, `MNEMON_SKILL_LOOP_USAGE_FILE`, and `MNEMON_SKILL_LOOP_PROPOSALS_DIR`. 2. Ask the curator to review: - `GUIDE.md` - `skills/active` - `skills/stale` - `skills/archived` - `.usage.jsonl` - existing proposals 3. Request proposals for create, patch, consolidate, stale, archive, or restore actions only when evidence supports them. When a proposal needs concrete skill content, use `skill-author` to draft reviewable `SKILL.md` content under the proposals directory. 4. Keep the output proposal-first. Do not enable a new active skill in the current session unless the user explicitly approves and the host supports it. ## Review Request Template ```text Review the Mnemon skill loop library at $MNEMON_SKILL_LOOP_DIR. Use GUIDE.md as policy. Read usage evidence and current skills. Produce proposal files under $MNEMON_SKILL_LOOP_PROPOSALS_DIR. Do not apply changes. ```
Analyze Mnemon harness eval reports, classify outcomes, and extract improvement evidence.
Turn stable Mnemon harness eval findings into scoped project, loop, adapter, docs, or eval asset improvements.
Design a scenario-driven Mnemon harness eval with target, hypothesis, HostAgent, loop configuration, evidence, and rubric.
Execute or supervise a planned Mnemon harness eval run in an isolated HostAgent workspace.
Manage project-scoped Mnemon goal state, evidence, verification, completion, blockers, and host goal links.
Recall long-term memory from Mnemon when GUIDE.md indicates that prior memory may help the current task.
Maintain prompt-facing working memory by editing MEMORY.md when GUIDE.md indicates that durable information should be kept.
Draft or revise high-quality SKILL.md content for approved or proposed Mnemon skill changes.