Skill Evolver

v0.1.0

A complete skill lifecycle manager for discovering, orchestrating, fusing, and evolving skills. Helps decide which skills to use, how to compose or fuse them...

1· 306· 1 versions· 4 current· 4 all-time· Updated 9h ago· MIT-0

Install

openclaw skills install skill-evolver

Skill Evolver

Solve first. Materialize later.

Workflow

Phase 0: Setup Output Directory

Create a timestamped output directory for this session:

# Format: output/MM-DD-<feature-slug>/
# Example: output/03-09-pdf-translate/
mkdir -p "output/$(date +%m-%d)-<feature-slug>"

Tip: Use a short slug derived from the task (e.g., pdf-translate, data-export, api-integration)

Store the output path for subsequent phases:

OUTPUT_DIR=output/<created-directory>

Phase 1: Intent Analysis

Analyze the user task and output ${OUTPUT_DIR}/01-intent.md. See template: references/templates/01-intent.md

Phase 2: Skill Search

Follow the complete skill search workflow: → references/skill-search.md

This workflow covers:

  • CLI prerequisites and installation
  • Local + Registry (dual-track) search
  • Skill selection checkpoint
  • Installation and verification
  • Security audit

Output files:

  • ${OUTPUT_DIR}/02-candidates.md - Merged search results
  • ${OUTPUT_DIR}/02-verify.md - Installation verification (if installed)
  • ${OUTPUT_DIR}/02-audit.md - Security audit report (if installed)

Phase 3: Deep Inspection

For each candidate skill, perform deep analysis:

Follow the workflow: references/skill-inspector.md

Output: ${OUTPUT_DIR}/03-inspection.md

Checkpoint: Approach Decision

After inspection, evaluate whether skills can solve the task:

LLM evaluates:

  • Do skill capabilities match task requirements?
  • Is modification needed?
  • Is fusion beneficial?

LLM Recommendation:

  • Orchestration (skills match well, no major modification)
  • Fusion (skills partially match, combining creates new value)
  • Native (no suitable skills found)

Options for user:

  • A: Orchestration (LLM recommended)
  • B: Skill Fusion (enter coding mode)
  • C: Use native abilities instead
  • D: Re-analyze (return to Phase 3)

Phase 3.5: Skill Fusion (Conditional)

Only if approach is Fusion

Follow the complete skill fusion workflow: → references/skill-fusion.md

This workflow covers:

  • Fusion spec design
  • Invoke skill-creator
  • Audit fused skill

Output files:

  • ${OUTPUT_DIR}/03-fusion-spec.md - Fusion specification
  • ${OUTPUT_DIR}/03-fusion-audit.md - Security audit (if fusion)

Phase 4: Orchestration

Design execution plan and output ${OUTPUT_DIR}/04-orchestration.md. See template: references/templates/04-orchestration.md

Checkpoint: Plan Confirmation

Use AskUserQuestion tool (or similar tool to Human-in-the-Loop) to confirm plan:

  • A: Proceed with this plan
  • B: Modify the plan
  • C: Show alternatives
  • D: Additional requirements (then revise)

Phase 5: Execution

Execute the plan. For each step:

  • Native: use your own reasoning
  • Skill: invoke the skill with appropriate input

Checkpoint: Materialization Decision

Use AskUserQuestion tool (or similar tool to Human-in-the-Loop) to ask about preservation:

  • A: Yes, create a new skill (invoke skill-creator)
  • B: No, this was one-time
  • C: Save as draft for later review
  • D: Additional requirements (then adjust scope)

Principles

Priority: native > orchestration > temporary > persistent

- Prefer native for simple tasks
- Prefer orchestration when existing skills can solve it
- Materialize only after validation + proven reuse value
- Always provide option [D] for additional input
- Re-optimize when user provides new information

Version tags

latestvk97ax2x5fpbj2g1jc59k6wqzbd82n6nq