Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Scans installed skills, suggests L0-L3 priority tiers, and auto-configures skill injection policy. Use when: setting up skill priorities, optimizing token bu...
Scans installed skills, suggests L0-L3 priority tiers, and auto-configures skill injection policy. Use when: setting up skill priorities, optimizing token bu...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Automated skill tiering and injection policy configuration for OpenClaw.
Discovery Phase: Scans all installed skills across standard directories Analysis Phase: Suggests L0-L3 tier assignments based on skill characteristics Configuration Phase: Applies the tiered architecture to your setup Validation Phase: Verifies configuration and estimates token savings
# Run the interactive setup wizard python3 ~/.openclaw/workspace/skills/skill-priority-setup/scripts/setup.py # Or non-interactive mode with defaults python3 ~/.openclaw/workspace/skills/skill-priority-setup/scripts/setup.py --auto
New Setup: Just installed multiple skills and want optimal configuration Performance Issues: High token usage or slow responses Migration: Upgrading from flat skill structure to tiered architecture Audit: Reviewing and optimizing existing skill priorities
This skill implements a 4-tier priority system:
semantic-system: Semantic routing (message injector) agent-evolution: Self-improvement behaviors (SOUL.md) config-modification: Config safety (on-demand) skill-safe-install: Installation safety (on-demand)
browser-automation: Web automation find-skills: Skill discovery teamtask: Multi-agent coordination
Document: word-docx, tesseract-ocr Media: youtube-transcript Platform: discord, wechat-suite, evomap Automation: automation-workflows
Third-party integrations: notion, slack, github, etc.
βββββββββββββββββββ β 1. Scan Skills β β Find all SKILL.md files ββββββββββ¬βββββββββ βΌ βββββββββββββββββββ β 2. Analyze β β Detect skill types & dependencies ββββββββββ¬βββββββββ βΌ βββββββββββββββββββ β 3. Suggest Tiersβ β Propose L0-L3 assignments ββββββββββ¬βββββββββ βΌ βββββββββββββββββββ β 4. User Review β β Confirm or modify suggestions ββββββββββ¬βββββββββ βΌ βββββββββββββββββββ β 5. Apply Config β β Update AGENTS.md, SOUL.md, etc. ββββββββββ¬βββββββββ βΌ βββββββββββββββββββ β 6. Validate β β Check JSON, test injection βββββββββββββββββββ
L0 Core: β€300 tokens/round (minimal rules) L1 Triggered: β€400 tokens per injection Total Budget: β€900 tokens/round Overflow Strategy: Inject summary + file path only
Backup before any configuration changes JSON validation before applying Dry-run mode (--dry-run) Rollback capability
SKILL_PRIORITY_POLICY.md: Your custom policy document AGENTS.md updates: Core constraints added SOUL.md updates: Agent evolution behaviors Backup files: .backup/*.timestamp
Edit ~/.openclaw/workspace/skills/skill-priority-setup/config.yaml to customize: # Default tier assignments (override per skill) default_tiers: semantic-router: L0 browser: L1 word-docx: L2 # Token budgets token_budget: l0_max: 300 l1_max: 400 total_max: 900 # Safety settings backup_before_change: true validate_json: true auto_rollback: true
Check if message injector content exceeds limit Run with --diagnose flag
Verify allowBundled list in openclaw.json Check file permissions
Review L0 assignments (should be minimal) Consider moving skills to lower tiers
Original Implementation: SKILL_PRIORITY_POLICY.md OpenClaw Docs: https://docs.openclaw.ai/skills
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