워크트리 브랜치를 main으로 squash-merge + conventional commit 자동 생성. codex-swarm 워크트리 자동 인식. '머지해', 'merge worktree', '워크트리 머지', '결과 수집', 'squash merge' 요청에 사용.
Use this skill when reviewing or merging any community PR in unifi-mcp — even if the user just says "take a look at this PR" or "can we merge this." Covers the complete quality gate checklist (f-string logger ban, validator registry registration, doc site update ordering), the fork-edit model for trusted contributors, and PR body standards. Apply this skill before approving any externally-authored PR, before running the merge command, and when auditing recently merged PRs for compliance.
Merge the current PR, wait for merge queue/checks to complete, then switch to main and pull
CI/CD integration patterns for gh-infra: auto-apply on merge, scheduled drift detection, and authentication setup for GitHub Actions workflows. --- # CI/CD Integration gh-infra is designed to run in CI. The two main patterns are **auto-apply on merge** and **scheduled drift detection**. ## Auto-Apply on Merge Automatically apply infrastructure changes when YAML files are merged to `main`: ```yaml # .github/workflows/infra-apply.yaml
Используй этот скилл для любых операций с приложениями на платформе 1С:Предприятие.Элемент (1cmycloud.com): создать приложение, задеплоить ветку из внешнего git-репозитория (GitHub, GitLab и др.), обновить, проверить статус, запустить, остановить, удалить, принять изменения (merge). Вызывай скилл всякий раз, когда пользователь упоминает деплой, запуск, остановку или управление приложением на Элементе — даже если он не говорит явно "задеплой", а просто спрашивает "как дела с приложением" или "смёрджи ветку".
Evolve the Spellbook library. Scan external sources for new skills worth indexing, review observations for improvement opportunities, brainstorm new primitives, investigate existing skills for consolidation or deletion, research power user patterns and best practices.
Author Unity EditMode, PlayMode, or regression tests for the current change without conflating that with test execution.
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:
