- 📄 SKILL.md
syncable-cli
Use when the user asks to analyze a project, understand the tech stack, detect frameworks, check what languages are used, identify runtimes or package managers, or as a first step before security/vulnerability scans
Use when the user asks to analyze a project, understand the tech stack, detect frameworks, check what languages are used, identify runtimes or package managers, or as a first step before security/vulnerability scans
Test for authentication and authorization flaws including credential attacks, session issues, and access control bypasses
Administer an Omni Analytics instance — manage connections, users, groups, user attributes, permissions, schedules, and schema refreshes via the REST API. Use this skill whenever someone wants to manage users or groups, set up permissions on a dashboard or folder, configure user attributes, create or modify schedules, manage database connections, refresh a schema, set up access controls, provision users, or any variant of "add a user", "give access to", "set up permissions", "who has access", "configure connection", "refresh the schema", or "schedule a delivery".
Report user activity and submit feedback to Glean. Use when logging user interactions or providing relevance feedback on search results.
McKinsey顾问式问题解决系统。从商业问题出发,通过假设驱动的结构化分析方法,生成McKinsey风格研究报告和PPT。融合Problem Solving方法论、MECE原则、Issue Tree拆解、Hypotheses形成、Dummy Page设计、智能数据收集和专业PPT生成能力。
CLI to download npm packages, PyPI packages, crates, or GitHub repo source code into node_modules/.gitchamber/ for analysis. Use when you need to read a package's inner workings, documentation, examples, or source code. Alternative to opensrc that stores in node_modules/ for zero-config gitignore/vitest/tsc compatibility. After fetching, analyze files with grep, read, and other tools.
Implements features, functionalities, and improvements to fdb and its packages. Use when creating new features, adding new commands, or improving existing functionality in fdb or fdb_helper.
Use when building UI with DAUB, the considered CSS component library from daub.dev.
run brew upgrade
Build autonomous AI agents with Claude Agent SDK. TypeScript v0.2.119 | Python v0.1.68.
Real-time AI agent security scanner. Detects prompt injection, jailbreak attempts, credential/secret leaks, PII exposure, and dangerous tool calls. Activate when: (1) scanning inbound messages or tool outputs for prompt injection, (2) checking outbound content for credential leaks or PII, (3) auditing agent session logs for security events, (4) evaluating tool call safety before execution, (5) user asks about security scanning or threat detection. Covers OWASP Top 10 Agentic AI risks. --- # ClawMoat — Security Moat for AI Agents ## Scripts All scripts are in `scripts/`. They wrap the `clawmoat` CLI and log results to `clawmoat-scan.log`. ### Scan Text Scan any text for threats (prompt injection, secrets, PII, exfiltration): ```bash scripts/scan.sh "text to scan" ``` Returns JSON with findings. Logs to `clawmoat-scan.log`. Exits non-zero on CRITICAL/HIGH findings. ### Scan File ```bash scripts/scan.sh --file /path/to/file.txt ``` ### Audit Session
Cybernetics-based multi-agent orchestration for complex tasks. Coordinates a Planner → Generator → Evaluator → Retro pipeline with clean-context sub-agents, per-checkpoint drift prevention, and persistent retro learning.
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: