- 📁 references/
- 📄 metadata.json
- 📄 SKILL.md
agentic-harness-patterns-zh
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Write CSP-compatible Alpine.js components for Hyvä themes in Magento 2. This skill should be used when the user wants to create Alpine components, add interactivity to Hyvä templates, write JavaScript for Hyvä themes, or needs help with Alpine.js patterns that work with Content Security Policy. Trigger phrases include "create alpine component", "add interactivity", "alpine for hyva", "x-data component", "csp compatibility", "csp compliant javascript".
Run the wasteland smoke test plan against a freshly built wl binary
This skill should be used when the user asks to "develop a feature", "implement a ticket", "build PROJ-123", "run the development pipeline", "develop this ticket end to end", or wants fully autonomous feature implementation with parallel research agents, planning, phased implementation, review, and PR creation. Zero checkpoints; pauses only on blockers.
Add an MCP server to pi. Use when asked to "add mcp server", "configure mcp", "add mcp", "new mcp server", "setup mcp", "connect mcp server", or "register mcp server". Handles both global and project-local configurations.
The basics of how to program GPUs using Mojo. Use this skill in addition to mojo-syntax when writing Mojo code that targets GPUs or other accelerators. Use targeting code to NVIDIA, AMD, Apple silicon GPUs, or others. Use this skill to overcome misconceptions about how Mojo GPU code is written.
Use when producing screen-recorded demos that need scenario-specific pane layouts, live interaction walkthroughs, and machine-readable timecodes for automated video editing.
Reverse engineer success. Work backward from done. Every step verifiable.
Autonomously optimize any Codex skill by running it repeatedly, scoring outputs against evals (binary for rules + comparative for quality), mutating the skill's prompt and reference assets, and keeping improvements. Based on Karpathy's autoresearch methodology. Use this skill whenever the user mentions optimizing a skill, improving a skill, running autoresearch, making a skill better, self-improving a skill, benchmarking a skill, evaluating a skill, running evals on a skill, or any request to iteratively test and refine a skill — even if they don't use the word "autoresearch" explicitly. Also trigger on 스킬 개선, 스킬 최적화, 스킬 벤치마크, 스킬 평가. Outputs an improved SKILL.md, a results log, a changelog, and a research log of meaningful direction shifts.
Checks a GitHub or GitLab pull request (or merge request) for unresolved review comments, failing status checks, and incomplete PR descriptions. Waits for pending checks to complete, categorizes issues as actionable or informational, and optionally fixes and resolves them. Use when the user wants to check a PR/MR, address review feedback, or prepare a PR for merge.
Esperto di HTML-JS Card per Home Assistant Lovelace. Usa quando devi creare card con HTML, CSS e JavaScript inline: variabili hass/entities/card, hass-update event, callService, shadow DOM.
Rebuild eforge from source and restart the daemon. Use during development after making code changes so the MCP tools pick up the latest build.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: