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OpenClaw Skill Authoring Factory Capability Pack Skill
Expert OpenClaw skill-authoring capability pack for repeatable research, validation, packaging, and distribution workflows.
by JSONbored·added 2026-04-11·373,140 source repo stars·
Claude CodeCodexWindsurfGeminiCursorCLI
HarnessClaude CodeCodexWindsurfGeminiCursorCLI
Level:expertType:capability-packVerified:validated
Review first — review before installing
Open the source and read safety notes before installing.
Prerequisites
- Target domain and use case
- Source-of-truth docs
- Validation command set
Schema details
- Install type
- package
- Reading time
- 9 min
- Difficulty score
- 86
- Troubleshooting
- Yes
- Breaking changes
- No
Source repository stats
- Scope
- Source repo
- Stars
- 373,140 source repo stars
- Forks
- 77,409
- Updated
- 2026-05-19T11:43:27Z
Package metadata
- Package verified
- Yes
- SHA-256
- cf3ec648f0dd4808a709afca8306947b6be5c9bc18e2b481cdf0436e846fe9e3
Skill and platform metadata
- Skill type
- capability-pack
- Skill level
- expert
- Verification
- validated
- Verified at
- 2026-04-11
Retrieval sources
https://github.com/openclaw/openclawhttps://github.com/openclaw/openclaw/blob/main/README.mdhttps://github.com/openclaw/openclaw/blob/main/CONTRIBUTING.md
Tested platforms
ClaudeCodexOpenClawCursorWindsurfGemini
| Platform | Support | Install path |
|---|---|---|
| claude-code | Native | .claude/skills/<skill-name>/SKILL.md |
| codex | Native | .agents/skills/<skill-name>/SKILL.md |
| windsurf | Native | .windsurf/skills/<skill-name>/SKILL.md |
| gemini | Native | .gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md |
| cursor | Adapter | .cursor/rules/<skill-name>.mdc |
| cli | Manual | AGENTS.md or tool-specific context file |
Full copyable content
# Trigger
"Apply the OpenClaw skill authoring factory capability pack."
# Required output
1) Skill specification and success criteria
2) Retrieval and freshness plan
3) Packaging and validation output
4) Distribution metadata checklistAbout this resource
Knowledge Freshness
This capability pack is pinned to documentation verified on 2026-04-11.
Retrieval Sources
- https://github.com/openclaw/openclaw
- https://github.com/openclaw/openclaw/blob/main/README.md
- https://github.com/openclaw/openclaw/blob/main/CONTRIBUTING.md
Core Workflow
- Define exact user problem, inputs, and expected outputs.
- Gather current official docs and mark freshness date.
- Build skill content with deterministic sections and constraints.
- Validate with regression runs and failure-path checks.
- Package and publish with checksum and metadata integrity.
Overview
This skill operationalizes repeatable skill creation for OpenClaw and adjacent agent ecosystems.
Capability Scope
- Skill spec and scope definition
- Retrieval-source governance
- Validation and QA workflow
- Packaging and checksum controls
- Catalog publication readiness
Compatibility
Native
- Claude Code / Claude: native skill usage via
SKILL.md. - Codex/OpenAI workflows: compatible with Agent Skills-style
SKILL.mdcontent as reusable workflow instructions.
Manual Adaptation
- Gemini CLI: native skill usage via
.gemini/skills/<skill-name>/SKILL.mdor.agents/skills/<skill-name>/SKILL.mdwhere supported. - Cursor: use the generated
.cursor/rules/*.mdcadapter for project rules. - OpenClaw and similar agents: use the same skill content as a reusable prompt/workflow file when native skill import is unavailable.
Production Rules
- Every skill must include verifiedAt and retrievalSources.
- Do not publish packages without deterministic checksum verification.
- Keep scope narrow enough for repeatable real-world execution.
- Require failure-path examples before marking production.
Troubleshooting
Issue: Skill works in one agent but not another
Fix: include explicit adaptation notes per non-native platform.
Issue: Skill gets stale quickly
Fix: enforce verifiedAt and retrievalSources refresh policy.
Issue: Package integrity is unclear
Fix: publish deterministic checksum and regenerate only on content changes.
Output Contract
- Skill spec with acceptance criteria.
- Retrieval/freshness table.
- Packaging manifest and checksum.
- Validation evidence and known limitations.
Content outline
#openclaw#skill-authoring#packaging#ai-agents#capability-pack
Source citations
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