skillminer

Suggest reusable skills from recurring patterns in local memory files. Human review gate, drafts only to skills/_pending/, local-first runner with optional external fallback. Triggers on "skill forge", "propose a skill", "what skills should I have", "skill candidates", "what patterns have I been doing", "forge me a skill", "forge show", "forge accept", "forge reject", "forge promote".

Your AI assistant keeps solving the same problems. skillminer notices and suggests turning them into reusable skills.

skillminer watches your local memory files, spots recurring work, and surfaces the patterns worth keeping. No auto-activation, no cloud sync, no noise by default. A morning suggestion in your inbox when something actually deserves to become a skill.

Trust model

• Human gate first, always. Nothing ships without your explicit accept.
• Drafts go to skills/_pending/<slug>/, never to live skills.
• Default runner is local OpenClaw. No data leaves the host.
• FORGE_RUNNER=claude is an opt-in external fallback that sends prompt data to Anthropic's API.
• Notifications are off by default; review files are written locally regardless.

Flow

text

nightly scan   reads recent memory/YYYY-MM-DD.md files
               detects recurring task patterns
               writes a review file to state/review/
               ↓
YOU DECIDE     forge accept / reject / defer / silence
               ↓
morning write  drafts a SKILL.md into skills/_pending/<slug>/
               you review it, promote it, ship it

Nothing goes live automatically. You stay in control at every step.

Relationship to the built-in Skill Workshop

OpenClaw 2.0 ships automatic self-learning and a system-owned skill review job:

text

skill-collection-review   every 7d   main

It proposes skills too. skillminer differs in three ways: it reads your memory files rather than session behaviour, it writes drafts to skills/_pending/ instead of creating anything live, and every candidate passes an explicit accept/reject ledger. Running both is fine - they draw on different signals - but expect overlapping suggestions. Check what is scheduled with openclaw automations list.

Quick start

bash

openclaw skills install skillminer
cd ~/.openclaw/workspace/skills/skillminer     # or "$CLAWD_DIR/skills/skillminer"
bash setup.sh
bash scripts/run-nightly-scan.sh

If the manual scan looks good, add the printed scheduler jobs with openclaw automations add.

jq must be on PATH. Without it OpenClaw marks the skill as needing setup, which also means the model cannot see it and the slash command does not exist - the skill is simply absent with no message in the chat. openclaw skills info skillminer shows which binary is missing.

Environment

• CLAWD_DIR - optional. Defaults to the OpenClaw workspace, which is ~/.openclaw/workspace on OpenClaw 2.0. Older installs used ~/clawd; set this explicitly if your memory files live somewhere else.
• FORGE_RUNNER — defaults to openclaw (local). Set to claude only if you accept that prompt data leaves the host.

Commands

forge is the command prefix.

• forge show — list current candidates
• forge review — open the latest review file
• forge accept <slug> — accept a candidate for the next morning write
• forge reject <slug> "reason" — reject permanently
• forge defer <slug> "reason" — defer with cooldown
• forge silence <slug> "reason" — silence without cooldown
• forge unsilence <slug> — resurface a silenced entry
• forge promote <slug> — move a pending draft into live skills

Manual triggers

When you want a one-shot run without remembering full paths:

bash

skillminer scan     # run nightly scan now
skillminer write    # run morning write now
skillminer full     # scan + write in sequence
skillminer status   # show current ledger state
skillminer help     # show usage

Security

• Slug validation gates every filesystem-path boundary (regex-enforced)
• Atomic state writes with backup rotation and JSON validation
• flock-based single-instance guarantee across all entry points
• Memory files are treated as untrusted data in the nightly scan prompt

See README.md and USER_GUIDE.md for full docs.