dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
Run a weekly token-optimization audit for durable instruction files in any OpenClaw workspace, generate a markdown report, and propose approval-gated cleanup actions. Use when users want to keep AGENTS/USER/TOOLS/MEMORY-style docs lean without silent deletions.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install andyylin/durable-files-weekly-review-publicInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Use this skill to audit durable instruction files and prepare cleanup proposals.
Audit these files relative to a workspace root:
AGENTS.md
SOUL.md
USER.md
TOOLS.md
MEMORY.md
IDENTITY.md
PRIORITIES.md
SKILLS.md
projects.md
python3 scripts/durable_files_review_generic.py --root .
Optional:
python3 scripts/durable_files_review_generic.py --root /path/to/workspace --out knowledge/reports/durable-files
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Durable Files Weekly Review (Sanitized / ClawHub) Use this skill to audit durable instruction files and prepare cleanup proposals. ## Default scope Audit these files relative to a workspace root: - `AGENTS.md` - `SOUL.md` - `USER.md` - `TOOLS.md` - `MEMORY.md` - `IDENTITY.md` - `PRIORITIES.md` - `SKILLS.md` - `projects.md` ## Run ```bash python3 scripts/durable_files_review_generic.py --root . ``` Optional: ```bash python3 scripts/durable_files_review_generic.py --root /path/to/workspace --out knowledge/reports/durable-files ``` ## Workflow 1. Run scanner. 2. Open generated report. 3. Summarize top token-heavy files + stale markers. 4. Propose cleanup in batches. 5. **Require explicit user approval before any deletions.** 6. Apply approved edits and post concise changelog. ## Success output - Dated markdown report with metrics/findings - Clear approval queue for removals - No silent content removal
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
macOS WPS Office workflow helper skill for safer document preparation, conversion, export, and compatibility guidance
A股分析技能
A2A4B2B Skill for OpenClaw