Daily Featured Skills Count
4,176 4,215 4,256 4,301 4,343 4,380 4,387
04/15 04/16 04/17 04/18 04/19 04/20 04/21
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
anima-aios anima-aios
from GitHub Tools & Productivity
  • 📁 assets/
  • 📁 config/
  • 📁 core/
  • 📄 __init__.py
  • 📄 _meta.json
  • 📄 anima_doctor.py
agent architecture automation

anima-aios

An AI Agent cognitive growth system built on the native OpenClaw architecture. It provides agents with persistent memory management, visual intimacy progression, a 5-dimensional cognitive profile, gamified daily quests, team leaderboards, and a 5-layer memory architecture with Knowledge Palace, Pyramid thinking, and Ebbinghaus decay function. 基于 OpenClaw 原生架构的 AI Agent 认知成长体系，为 Agent 提供五层记忆架构、知识宫殿、金字塔知识组织、记忆衰减函数、LLM 智能处理、永久化记忆管理、可视化亲密度成长、五维认知画像、游戏化每日任务和团队排行榜。

⬇0 ❤133 21 days 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 ❤134 22 days ago · Uploaded Detail →
temporalio temporalio
from GitHub Development & Coding
  • 📁 .github/
  • 📁 references/
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md
temporal workflows python

temporal-developer

Develop, debug, and manage Temporal applications across Python, TypeScript, Go, Java and .NET. Use when the user is building workflows, activities, or workers with a Temporal SDK, debugging issues like non-determinism errors, stuck workflows, or activity retries, using Temporal CLI, Temporal Server, or Temporal Cloud, or working with durable execution concepts like signals, queries, heartbeats, versioning, continue-as-new, child workflows, or saga patterns.

⬇0 ❤131 19 days ago · Uploaded Detail →
serpro69 serpro69
from GitHub Tools & Productivity
  • 📄 chain-of-verification-isolated.md
  • 📄 chain-of-verification-process.md
  • 📄 shared-capy-knowledge-protocol.md
cove automation verification

chain-of-verification

Apply Chain-of-Verification (CoVe) prompting to improve response accuracy through self-verification. Use when complex questions require fact-checking, technical accuracy, or multi-step reasoning. --- # Chain-of-Verification (CoVe) CoVe is a verification technique that improves response accuracy by making the model fact-check its own answers. Instead of accepting an initial response at face value, CoVe instructs the model to generate verification questions, answer them independently, and revise the original answer based on findings. ## Conventions Read capy knowledge base conventions at [shared-capy-knowledge-protocol.md](shared-capy-knowledge-protocol.md). **Capy restriction:** CoVe is a read-only verification tool. Do NOT call `capy_index` or `capy_fetch_and_index` during this workflow. Use `capy_search` only. If corrections reveal knowledge worth persisting, the calling agent handles indexing after CoVe completes. ## When to Use This Skill

⬇0 ❤129 19 days ago · Uploaded Detail →
Soneso Soneso
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
swift horizon devops

stellar-ios-sdk

Build Stellar blockchain applications in Swift using stellar-ios-mac-sdk. Use when generating Swift code for transaction building, signing, Horizon API queries, Soroban RPC, smart contract deployment and invocation, XDR encoding/decoding, and SEP protocol integration. Covers 26+ operations, 50 Horizon endpoints, 12 RPC methods, and 17 SEP implementations with Swift async/await and callback-based streaming patterns. Full Swift 6 strict concurrency support (all types Sendable).

⬇0 ❤129 19 days ago · Uploaded Detail →
QSong-github QSong-github
from GitHub Databases & Storage
  • 📄 __init__.py
  • 📄 adrecs_skill.py
  • 📄 example.py
drug adrecs dataframe

ADReCS-query

Query the ADReCS (Adverse Drug Reaction Classification System) v3.3 database. Use whenever the user asks about adverse drug reactions, drug safety profiles, ADR classification, ADR severity/frequency, or wants to look up any entity (drug name, BADD Drug ID, DrugBank ID, ATC code, CAS RN, PubChem CID, KEGG ID, ADR term, ADReCS ID, MedDRA code, MeSH ID) in ADReCS. --- # ADReCS Query Skill Search ADReCS v3.3 records by any entity. Auto-detects type by prefix: | Input Pattern | Detected As | Example | |---|---|---| | `BADD_D00142` | BADD Drug ID | exact on drug_id column | | `DB00945` | DrugBank ID | resolved via Drug_information | | `A02BC01` | ATC code | resolved via Drug_information | | `50-78-2` | CAS RN | resolved via Drug_information | | `CID2244` or bare digits | PubChem CID | resolved via Drug_information | | `D00109` (5-digit) | KEGG ID | resolved via Drug_information | | `08.06.02.001` | ADReCS ID | substring on ADReCS_ID column | | `10003781` (8-digit) | MedDRA code | resolved via ADR_ontology | | `D######` (6+ digit) | MeSH ID | resolved via ADR_ontology | | anything else | free text | substring on drug_name OR ADR_term | ## API | Function | Input | Returns | |---|---|---| | `load_drug_adr(path)` | txt path | DataFrame (Drug–ADR pairs) | | `load_drug_info(path)` | xlsx path | DataFrame (drug metadata) | | `load_adr_ontology(path)` | xlsx path | DataFrame (ADR hierarchy) | | `search(entity)` | single entity string | DataFrame of matching Drug–ADR rows | | `search_batch(entities)` | list of entity strings | dict[str, DataFrame] | | `summarize(hits, entity)` | DataFrame + label | compact LLM-readable text | | `to_json(hits)` | DataFrame | list[dict] | ## Usage See `if __name__ == "__main__"` block in `62_ADReCS.py` for runnable examples covering: drug name lookup, BADD Drug ID, DrugBank ID, ADR term, ADReCS ID prefix, batch search, and JSON output. ## Data - **Source**: ADReCS v3.3 — [https://www.bio-add.org/ADReCS/](https://www.bio-add.org/ADReCS/) - **Primary

⬇0 ❤127 17 days ago · Uploaded Detail →
remorses remorses
from GitHub Development & Coding
  • 📄 SKILL.md
backend docs spiceflow

spiceflow

Spiceflow is a super simple, fast, and type-safe API and React Server Components framework for TypeScript. Works on Node.js, Bun, and Cloudflare Workers. Use this skill whenever working with spiceflow to get the latest docs and API reference.

⬇0 ❤131 22 days ago · Uploaded Detail →
B1u3B01t B1u3B01t
from GitHub Content & Multimedia
  • 📄 SKILL.md
component multiple visual

design-variations

Generates multiple distinct visual variations of a component or page, exploring divergent styles, layouts, and aesthetic directions. Use when the user wants to explore design alternatives, iterate on a UI with variety, compare visual approaches, or generate multiple versions of a component or page.

⬇0 ❤121 15 days ago · Uploaded Detail →
andreaskelm andreaskelm
from GitHub Tools & Productivity
  • 📄 SKILL.md
discovery automation research

discovery-research

Support discovery and research workflows using PM Brain’s discovery frameworks (research interviews, continuous discovery, JTBD, segmentation, opportunity assessment, idea validation, problem-solution space, product-market-fit).

⬇0 ❤127 19 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