Daily Featured Skills Count
5,034 5,070 5,117 5,165 5,205 5,241 5,259
05/08 05/09 05/10 05/11 05/12 05/13 05/14
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
gbessoni gbessoni
from GitHub Testing & Security
  • 📁 fixtures/
  • 📁 references/
  • 📁 scripts/
  • 📄 .env.example
  • 📄 .gitignore
  • 📄 CHANGELOG.md
data architecture quality

seo-agi

Write SEO pages that rank on Google AND get cited by LLMs. Uses live SERP data, 500-token chunk architecture, and the Reddit Test quality gate.

⬇0 ❤146 1 month ago · Uploaded Detail →
DeL-TaiseiOzaki DeL-TaiseiOzaki
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation codex data

add-feature

Add a feature to an existing codebase with Codex-first multi-agent collaboration (Codex + Opus 4.6). Codex CLI is consulted in EVERY phase for scope analysis, architecture design, and implementation planning.

⬇0 ❤142 1 month ago · Uploaded Detail →
Haaaiawd Haaaiawd
from GitHub Data & AI
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
python data docs

nexus-mapper

Generate a persistent .nexus-map/ knowledge base that lets any AI session instantly understand a codebase's architecture, systems, dependencies, and change hotspots. Use when starting work on an unfamiliar repository, onboarding with AI-assisted context, preparing for a major refactoring initiative, or enabling reliable cold-start AI sessions across a team. Produces INDEX.md, systems.md, concept_model.json, git_forensics.md and more. Requires shell execution and Python 3.10+. For ad-hoc file queries or instant impact analysis during active development, use nexus-query instead.

⬇0 ❤142 1 month ago · Uploaded Detail →
joa23 joa23
from GitHub Data & AI
  • 📄 SKILL.md
data dependency historical

cycle-plan

Plan Linear cycles using velocity analytics. Suggests scope based on historical capacity, identifies dependency risks, balances workload.

⬇0 ❤119 14 days ago · Uploaded Detail →
sd0xdev sd0xdev
from GitHub Docs & Knowledge
  • 📁 references/
  • 📄 SKILL.md
architecture docs data

architecture

Architecture design and documentation. Produces 3-architecture.md with component diagrams, data flow, integration points, and architecture decisions. Reads existing tech-spec as input. Use when: designing system architecture, documenting component interactions, creating architecture docs, producing 3-architecture.md. Not for: tech spec writing (use tech-spec), code implementation (use feature-dev), architecture consulting only (use codex-architect).

⬇0 ❤138 1 month ago · Uploaded Detail →
suryast suryast
from GitHub Development & Coding
  • 📁 .github/
  • 📁 apis/
  • 📁 examples/
  • 📄 .gitignore
  • 📄 AGENTS.md
  • 📄 LICENSE
references data indonesian

querying-indonesian-gov-data

Query 50 Indonesian government APIs and data sources — BPJPH halal certification, BPOM food safety, OJK financial legality, BPS statistics, BMKG weather/earthquakes, Bank Indonesia exchange rates, IDX stocks, CKAN open data portals, pasal.id (third-party law MCP). Use when building apps with Indonesian government data, scraping .go.id websites, checking halal certification, verifying company legality, looking up financial entity status, or connecting to Indonesian MCP servers. Includes ready-to-run Python patterns, CSRF handling, CKAN API usage, and IP blocking workarounds. --- # Querying Indonesian Government Data 🇮🇩 STARTER_CHARACTER = 🇮🇩 Route the user's intent to the right child reference, then follow its patterns. ## Router | User intent | Load reference | Quick pattern | |------------|---------------|---------------| | Halal certification, halal product check | [references/bpjph-halal.md](references/bpjph-halal.md) | `POST cmsbl.halal.go.id/api/search/data_penyelia` JSON, no auth | | Food/drug/cosmetic registration, BPOM | [references/bpom-products.md](references/bpom-products.md) | Session + CSRF → `POST cekbpom.pom.go.id/produk-dt` | | Is this fintech/investment legal, OJK | [references/ojk-legality.md](references/ojk-legality.md) | `GET sikapiuangmu.ojk.go.id/FrontEnd/AlertPortal/Search` | | Weather in Indonesia, earthquake, tsunami | [references/bmkg-weather.md](references/bmkg-weather.md) | `GET data.bmkg.go.id/DataMKG/TEWS/autogempa.json` | | GDP, inflation, population, trade stats | [references/bps-statistics.md](references/bps-statistics.md) | `GET webapi.bps.go.id/v1/api/...` (free API key) | | USD/IDR exchange rate, BI Rate | [references/bank-indonesia.md](references/bank-indonesia.md) | Scrape `bi.go.id/id/statistik/informasi-kurs/` | | Indonesian law, regulation, specific pasal | [references/pasal-id-law.md](references/pasal-id-law.md) | MCP (third-party): `claude mcp add --transport http pasal-id ...` | | Government datasets on any topic | [refere

⬇0 ❤135 1 month ago · Uploaded Detail →
TianGzlab TianGzlab
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
data automation clustering

Bulk Omics Clustering Analysis

Systematic workflow for clustering biological samples, features, or any quantitative data matrix. Implements multiple clustering algorithms with rigorous validation, comparison, and interpretation to identify meaningful data groupings.

⬇0 ❤133 1 month ago · Uploaded Detail →
ymuromcev ymuromcev
from GitHub Business & Operations
  • 📁 references/
  • 📁 releases/
  • 📄 .gitignore
  • 📄 LICENSE
  • 📄 README.md
data coaching prep

interview-coach

High-rigor interview coaching skill for job seekers. Use when someone wants structured prep, transcript analysis, practice drills, storybank management, or performance tracking. Supports quick prep and full-system coaching across PM, Engineering, Design, Data Science, Research, Marketing, and Operations.

⬇0 ❤18 1 day ago · Uploaded Detail →
transilienceai transilienceai
from GitHub Data & AI
  • 📁 reference/
  • 📄 README.md
  • 📄 SKILL.md
ai security data

ai-threat-testing

Offensive AI security testing and exploitation framework. Systematically tests LLM applications for OWASP Top 10 vulnerabilities including prompt injection, model extraction, data poisoning, and supply chain attacks. Integrates with pentest workflows to discover and exploit AI-specific threats.

⬇0 ❤127 1 month ago · Uploaded Detail →
microsoft microsoft
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
data kql patterns

kql

KQL language expertise for writing correct, efficient Kusto queries using the Fabric RTI MCP tools. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writing, debugging, or reviewing KQL queries — even simple ones — because the gotchas section prevents the most common errors that waste tool calls and cause expensive retry cascades. Trigger on: KQL, Kusto, ADX, Azure Data Explorer, Fabric Eventhouse, log analysis, data exploration, time series, anomaly detection, summarize, where clause, join, extend, project, let statement, parse operator, extract function, any mention of pipe-forward query syntax.

⬇0 ❤113 27 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