- 📄 SKILL.md
add-flashcards
Converts webpages, articles, or documents into study flashcards that you can review with spaced repetition
Converts webpages, articles, or documents into study flashcards that you can review with spaced repetition
Spawn multiple children to review code from different quality dimensions
AI Builder の AI プロンプト(GPT Dynamic Prompt)を Dataverse API で作成し、Copilot Studio エージェントにツール(アクション)として追加する。
Commits git changes by appropriately breaking them into atomic units.
Build APIs with Vespera - FastAPI-like DX for Rust/Axum. Covers route handlers, Schema derivation, and OpenAPI generation.
Run and debug GitHub Actions locally with gh act. Use this skill when validating CI workflows, reproducing failures, or iterating on workflow YAML without pushing commits.
Tari Ootle development instructions for Aider
Use when adding a new problem model to the codebase, either from an issue or interactively
Build Houston App locally (macOS). Clean stale artifacts, pnpm tauri build, notarize DMG manually (Tauri skips), staple, verify, copy to ~/Desktop/Houston-{version}.dmg. Fallback when CI broken.
Designs Act and Cast architectures through dynamic questioning, outputting validated CLAUDE.md with mermaid diagrams. Use when starting new Act project, adding cast, planning architecture, extracting sub-cast (10+ nodes), redesigning existing cast, or ask "design architecture", "plan cast", "redesign cast", "create CLAUDE.md".
Use when tasks involve browser automation with bridgic-browser via terminal CLI (`bridgic-browser ...`) or Python SDK (`from bridgic.browser.session import Browser`, `from bridgic.browser.tools import BrowserToolSetBuilder`). Trigger for navigation, scraping, form filling, accessibility snapshot refs, e2e checks, stealth browsing, CLI-SDK mapping/migration, and generating SDK code from CLI action steps. --- ## Prerequisite (Important!!) Before performing any operations, **MAKE SURE to use `uv`** to initialize the execution environment and install dependencies first. Note: DO NOT rely on any execution environment other than `uv`, to ensure the execution environment is isolated from the host machine. - **Initialize project**: `[ -f pyproject.toml ] || uv init --bare --python 3.10` - **Install dependencies**: `uv add --upgrade bridgic-browser`. - **Ensure that `uv` is available**: If `uv` is not found or not installed, run `pip install uv` to install it. Then rerun the previous "Install dependencies" step. - **Install browser binaries** (one-time): `uv run playwright install chromium` The CLI tools (`references/cli-guide.md`) and the Python SDK (`references/sdk-guide.md`) come from the **same package** — installing one installs both. ## Strategies & Guidelines (Important!!) When writing browser automation or web scraping code, **ALWAYS follow this "explore first, then coding" strategy**: - First, use the `bridgic-browser` CLI tools to explore the page structure. It is recommended to use headed mode with the command `bridgic-browser open --headed <url>` during exploration. - Then, use the `bridgic-browser` Python SDK to write the code.
Full-stack AI application generator with Next.js, AI SDK, and ai-elements. Use when creating chatbots, agent dashboards, or custom AI applications.
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: