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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
iuliandita iuliandita
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
ai automation database

ai-ml

· Build, review, or architect AI/ML applications -- LLM integrations, RAG pipelines, agent systems, embeddings, evals, local inference, structured output, and tool use. Triggers: 'llm', 'rag', 'embedding', 'vector store', 'langchain', 'openai sdk', 'anthropic sdk', 'agent loop', 'fine-tune', 'ollama', 'vllm', 'evals', 'guardrails', 'chunking', 'reranking'. Not for MCP servers (use mcp), prompt writing (use prompt-generator), or general DB (use databases).

⬇0 ❤6 7 days ago · Uploaded Detail →
omriariav omriariav
from GitHub Data & AI
  • 📁 data/
  • 📁 examples/
  • 📁 references/
  • 📄 LEARNINGS.md
  • 📄 SKILL.md
flight data database

natbag

This skill should be used when the user asks about "Ben Gurion airport", "TLV flights", "flight status", "departures from Tel Aviv", "arrivals at TLV", "is my flight on time", "flight to Amsterdam", "airport delays", "cancelled flights", "gate info", "terminal 3", "pickup from airport", "weather at destination", "flight delay history", "נתב״ג", "טיסות", "לוח טיסות", "מצב טיסה". Provides live flight data from Ben Gurion Airport (TLV), destination weather via Open-Meteo, and historical delay analysis via local SQLite database. Do NOT use for booking flights, non-TLV airports, or general travel planning.

⬇0 ❤6 8 days ago · Uploaded Detail →
9tykeshav 9tykeshav
from GitHub Development & Coding
  • 📁 reference/
  • 📄 SKILL.md
backend database tests

backend-test-writer

Use when generating tests for backend code (Express routes, MongoDB models, Node services) - analyzes file type, detects test framework from package.json, generates comprehensive tests with setup/teardown and edge case coverage

⬇0 ❤7 12 days ago · Uploaded Detail →
exploreomni exploreomni
from GitHub Data & AI
  • 📄 SKILL.md
data permissions database

omni-admin

Administer an Omni Analytics instance — manage connections, users, groups, user attributes, permissions, schedules, and schema refreshes via the Omni CLI. 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".

⬇0 ❤5 5 days ago · Uploaded Detail →
questdb questdb
from GitHub Databases & Storage
  • 📁 references/
  • 📄 SKILL.md
not questdb database

questdb

Use this skill whenever working with QuestDB — a high-performance time-series database. Trigger on any mention of QuestDB, time-series SQL with SAMPLE BY, LATEST ON, ASOF JOIN, ILP ingestion, or the questdb Python/Go/Java/Rust/.NET client libraries. Also trigger when writing Grafana queries against QuestDB, creating materialized views for time-series rollups, working with order book or financial market data in QuestDB, or any SQL that involves designated timestamps or time-partitioned tables. QuestDB extends SQL with unique time-series keywords — standard PostgreSQL or MySQL patterns will fail. Always read this skill before writing QuestDB SQL to avoid hallucinating incorrect syntax. --- # QuestDB Skill ## How to Use This Skill **IMPORTANT — MINIMIZE ROUND-TRIPS:** - Do NOT explore library source code (cryptofeed, questdb, etc.) - Do NOT check library versions or verify callback signatures - Do NOT read installed package files to "understand the API" - Do NOT verify infrastructure (Docker containers, Grafana health) is running — trust the user's prompt - Do NOT start `02_ingest.py` separately — `03_dashboard.py` launches it and verifies data automatically - Do NOT read extra reference files for topics already covered in this skill file - DO read reference files when their topic applies (e.g. enterprise.md for auth, grafana-advanced.md for complex panels) - Do NOT use task tracking (TaskCreate/TaskUpdate) for straightforward builds - Do NOT add `sleep` commands to wait for data or check background processes (the deploy script handles this) - Do NOT Ctrl+C, restart, or re-launch the ingestion process once `03_dashboard.py` has started it - Do NOT put VWAP, Bollinger, or RSI in separate timeseries panels — they are refIDs on the OHLC candlestick panel - Do NOT omit or empty `fieldConfig.overrides` — they put RSI on a right Y-axis (0-100%) and spread on a right axis. Without them, different scales crush the chart flat. - Do NOT set dashboard refresh to `"5s"` — the defa

⬇0 ❤6 10 days ago · Uploaded Detail →
sflinter sflinter
from GitHub Databases & Storage
  • 📁 references/
  • 📄 SKILL.md
database data banktivity

banktivity

Query and manage Banktivity financial data. Use when the user asks about transactions, accounts, spending, categories, tags, or securities in their Banktivity database.

⬇0 ❤5 7 days ago · Uploaded Detail →
nelsonfrugeri-tech nelsonfrugeri-tech
from GitHub Databases & Storage
  • 📁 references/
  • 📄 SKILL.md
database python security

ai-engineer

Baseline de conhecimento para AI/ML engineering moderno em Python. Foco em LLM engineering, RAG systems, agent frameworks (LangChain/LangGraph), multiple LLM providers (Anthropic, OpenAI, Bedrock, Gemini, Meta), vector databases (Qdrant), semantic caching (MongoDB, Redis), testing, observability, security, e production patterns. Complementa arch-py skill com patterns AI-specific.

⬇0 ❤5 10 days ago · Uploaded Detail →
netresearch netresearch
from GitHub Databases & Storage
  • 📄 composer.json
  • 📄 README.md
  • 📄 SKILL.md
database performance data

database-analyzer

Analyze and optimize database schemas, identify performance issues, and suggest improvements. Use when working with database structure, indexes, or query performance.

⬇0 ❤5 10 days ago · Uploaded Detail →
psyduckler psyduckler
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 demo/
  • 📁 references/
  • 📄 .gitignore
  • 📄 known-fixes.example.json
  • 📄 LICENSE
error database self-healing

self-healing

AI self-healing error handler. Use when a cron job fails, a sub-agent crashes, a deploy breaks, a script errors, or any automated process reports a failure. Also use proactively during heartbeats to scan for recent failures. Detects failures, diagnoses root causes, applies fixes (preferring permanent fixes over band-aids), verifies the fix works, and logs everything to a known-fixes database for faster future resolution. Triggers on error handling, failure recovery, self-healing, diagnose error, fix broken, cron failed, deploy failed, sub-agent crashed, script error.

⬇0 ❤5 12 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