dontbesilent 执行力诊断。用阿德勒心理学框架诊断你「知道该做什么但就是不做」的真正原因。 触发方式：/dbs-action、/action、「我知道该怎么做但就是不做」「为什么我总是拖延」 Execution block diagnosis using Adlerian psychology framework.
Interact with GitHub using the gh CLI restricted to REST API only (no GraphQL). Use when the user wants to work with GitHub issues, pull requests, repos, releases, or Actions — especially in sandboxed environments where the GraphQL endpoint may be blocked. Trigger keywords - github, gh, pull request, PR, github issue, github actions, workflow, release, gh api.
Structured root cause analysis for arriving at a concrete action. Use when something went wrong, a pattern keeps recurring, behavior has drifted, or you catch yourself resolving to "do better" / "remember to X" without a concrete artifact. Five-whys forces behavioral resolutions into file edits, config changes, memory block updates, or scheduled jobs — the action item must produce a diff someone else can verify. Do not use for simple debugging with an obvious cause.
TwinMind action engine — manages standalone actions that aren't tied to any project. Use this skill when the user describes something they want to do that has a clear scope but doesn't belong to a project. Triggers: '建立行動', 'create action', '新增 action', '完成 action', 'action done', '做完了', '列出 actions', 'list actions', '升格為專案', 'promote to project', or when the user describes an executable goal like '研究 X', '設定 Y', '整理 Z'. Also use when the user says an action is getting too big and needs to become a project. Important: if the user mentions a specific project name, route to twinmind:project instead — that skill handles project-scoped actions.
YAML format reference for action reports rendered via preview_action_report. MUST be read before writing any action report YAML — defines the report structure (title, summary, actions array) and action item fields (as_is, to_be, reason, priority, category, impact) with incremental build workflow. Required by seo-analysis and any skill that produces prioritized recommendations.
VK Blocks Pro をリリース・デプロイする際に使用する。バージョン番号の付与、タグの push、GitHub Actions による CI/デプロイのワークフローを管理する。
Audit GitHub Actions workflows for supply-chain and CI/CD security vulnerabilities — script injection, expression injection, token exfiltration, unpinned actions, cache poisoning, and Shai-Hulud-class self-replicating worms. Use when the user asks to audit, review, or check the security of GitHub Actions, workflows, CI/CD pipelines, or asks about supply-chain risk, npm publish security, or Shai-Hulud.
5 concrete real-life actions for today based on recent signals and memory
Generate action scaffold code for an Orca machine in TypeScript, Python, or Go. Use when the user has a verified machine and wants implementation stubs for the action functions. When the machine file also contains decision tables, compiled evaluator functions and wired action stubs are included automatically.
5 concrete real-life actions for today based on recent signals and memory
Create character animation runs from one canonical base character. Codex plans the requested motion from pose to pose until the action reads clearly. The accumulated frame action list determines the frame count and layout, then $image-creator generates the action sheet and local scripts finalize a validated WebP animation.
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:
