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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
edinetdb edinetdb
from GitHub Data & AI
  • 📄 sector-wacc.md
  • 📄 SKILL.md
value intrinsic valuation

dcf-valuation

Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed companies. Triggers when user asks for fair value, intrinsic value, DCF, valuation, "what is X worth", price target, undervalued/overvalued analysis, or wants to compare current price to fundamental value.

⬇0 ❤203 25 days ago · Uploaded Detail →
comol comol
from GitHub Databases & Storage
  • 📁 docs/
  • 📁 tools/
  • 📄 SKILL.md
database data metadata

1c-metadata-manage

1C metadata management — create, edit, validate, and remove configuration objects (catalogs, documents, registers, enums), managed forms, data composition schemas (SKD), spreadsheet layouts (MXL), roles, external processors (EPF/ERF), extensions (CFE), configurations (CF), databases, subsystems, command interfaces, templates. Also: execute code or queries in a 1C database, read data, validate queries, retrieve event log errors. Use when working with 1C metadata structure or when interacting with a live 1C database.

⬇0 ❤207 29 days ago · Uploaded Detail →
Nubaeon Nubaeon
from GitHub Tools & Productivity
  • 📄 SKILL.md
code automation structured

code-audit

Use when the user says '/code-audit', 'audit this code', 'check code quality', 'find duplication', 'find dead code', 'code cleanup', 'technical debt audit', 'code review module', or wants a structured noetic investigation of code quality. This skill runs external analysis tools and structured manual review, producing Empirica artifacts (findings, goals, decisions) that any praxic agent can execute.

⬇0 ❤207 29 days ago · Uploaded Detail →
Arcadia-1 Arcadia-1
from GitHub Content & Multimedia
  • 📄 SKILL.md
parameters trigger optimization

optimizer

Black-box optimization of design parameters using TuRBO or scipy. TRIGGER when the user wants to optimize, tune, size, sweep, or explore a design space to meet specs. This includes circuit sizing (W/L, bias, passives), finding optimal operating points, minimizing power-delay or noise-power tradeoffs, or any task where multiple parameters need to be searched to hit a target. Also trigger when the user says things like 'find the best sizing', 'help me tune this', 'run an optimization', 'what values give me the best FOM', or 'sweep these parameters to meet spec'. Do NOT trigger for single-variable parametric sweeps or analytical calculations.

⬇0 ❤203 25 days ago · Uploaded Detail →
ucsandman ucsandman
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
dashclaw data ai

dashclaw-platform-intelligence

DashClaw platform expert for integration, troubleshooting, and governance. Use when working with DashClaw APIs/SDKs: instrumenting agents, action recording, guard/policy checks, SSE real-time events, org/workspace context, auth headers (x-api-key), errors (401/403/429/503), building API routes, generating SDK/client methods, bootstrapping agent data, configuring evaluations/scorers, prompt templates/versioning, feedback capture, compliance exports, drift monitoring, learning analytics/velocity, scoring profiles, risk templates, CLI approval channel, terminal approvals, dashclaw approve, dashclaw approvals, dashclaw deny, Claude Code hooks, PreToolUse, PostToolUse, governed tool calls, DASHCLAW_HOOK_MODE, terminal governance.

⬇0 ❤201 24 days ago · Uploaded Detail →
microsoft microsoft
from GitHub Development & Coding
  • 📄 SKILL.md
data add user

add-data-source

Guide the user to add a data source, connection, or API connector to a Canvas App via Power Apps Studio, then verify and continue. USE WHEN the user asks to add a data source, add a connection, add an API, add a connector, connect to SharePoint / Dataverse / SQL / Excel / OneDrive / Teams / Office 365, or any similar request to make new data available to the app. DO NOT USE WHEN the user is asking to list or describe existing data sources — call list_data_sources or list_apis directly instead.

⬇0 ❤205 29 days ago · Uploaded Detail →
aklofas aklofas
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
distributor jlcpcb order

bom

BOM (Bill of Materials) management for electronics projects — the primary orchestrator skill that coordinates DigiKey, Mouser, LCSC, element14, JLCPCB, PCBWay, and KiCad skills into a unified workflow. Create, update, and maintain BOMs with part numbers, costs, quantities stored as KiCad symbol properties. ALWAYS trigger this skill for any task involving component sourcing, pricing, ordering, distributor searches, BOM export, or fabrication preparation — even if the user names a specific distributor or fab house (e.g. "search DigiKey for...", "generate JLCPCB BOM", "order from Mouser"). This skill decides which distributor/fab skills to invoke and in what order. Also trigger on phrases like "what parts do I need", "order components", "how much will this cost", "export for JLCPCB", "find parts for this board", "cost estimate", "compare pricing", or "check stock".

⬇0 ❤203 28 days ago · Uploaded Detail →
hashgraph-online hashgraph-online
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 bin/
  • 📁 examples/
  • 📄 .gitignore
  • 📄 .zenodo.json
  • 📄 apis.json
agents automation registry

registry-broker

Search and chat with AI agents across the Universal Agentic Registry via the Hashgraph Online Registry Broker API. Use when discovering agents, starting conversations, finding incoming messages, or registering new agents.

⬇0 ❤197 22 days ago · Uploaded Detail →

Skill File Structure Sample (Reference)

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

SKILL.md Requirements

├─ ⭐ 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

Why SkillWink?

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.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

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.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

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.

2. How do Skills work?

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.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared 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.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up