Daily Featured Skills Count
4,870 4,909 4,940 4,970 5,005 5,034 5,044
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Import Skills

nicobailon nicobailon
from GitHub Development & Coding
  • 📄 SKILL.md

pi-intercom

Streamline session-to-session coordination with pi-intercom. Send messages, delegate tasks, and coordinate work across multiple pi sessions on the same machine. Use for planner-worker workflows, cross-session context sharing, and real-time collaboration between sessions. --- # Pi Intercom Skill Use this skill when you need to coordinate work across multiple pi sessions running on the same machine. Pi-intercom enables direct 1:1 messaging between sessions for delegation, context sharing, and collaborative workflows. When you are supervising `pi-subagents`, delegated child agents can escalate to you via `contact_supervisor` if `pi-subagents` supplied child bridge metadata. This skill covers how to handle those orchestrator-side escalations. ## When to Use - **Task delegation**: Split work between a planner session and worker sessions - **Context handoffs**: Send findings from a research session to an execution session - **Clarification loops**: Worker asks questions, planner answers, work continues - **Multi-session workflows**: Coordinate between specialized sessions (frontend/backend, research/implementation) ## Core Patterns ### Pattern 1: Planner-Worker Delegation The most common pattern. One session holds the big picture, others do hands-on work. **Setup** (in each session): ``` /name planner # Terminal 1 /name worker # Terminal 2 ``` **Planner delegates a task** (fire-and-forget): ```typescript intercom({

0 106 5 days ago · Uploaded Detail →
andylizf andylizf
from GitHub Development & Coding
  • 📁 .claude-plugin/
  • 📁 .github/
  • 📄 .markdownlint.json
  • 📄 INSTALL.md
  • 📄 install.sh

nonstop

Autonomous work mode that lets Claude work continuously while the user is away. Activates pre-flight risk assessment, dangerous-ops approval, and a blocker decision framework. Use "/nonstop" to activate, "/nonstop off" to deactivate. Use this skill whenever the user says things like "go nonstop", "keep working", "don't stop", "I'm going AFK", "work while I sleep", "finish this without me", or wants Claude to work autonomously without interruption.

0 92 1 month ago · Uploaded Detail →
jiyeongjun jiyeongjun
from GitHub Development & Coding
  • 📁 agents/
  • 📁 references/
  • 📄 model-policy.json
  • 📄 SKILL.md

socrates

Handles ambiguous or high-impact coding work where missing artifacts, protected-surface changes, or unresolved implementation branches could materially change the implementation. Use for coding tasks that need artifact recovery, guarded clarification, or post-patch verification. Skip trivial, formatting-only, or already explicit single-path work.

0 15 1 month ago · Uploaded Detail →
flc1125 flc1125
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 references/
  • 📄 README.md
  • 📄 SKILL.md

async

Launch and coordinate Codex subagents as deferred tasks. Use when the user wants to start bounded subagent work now, keep the main thread moving without waiting by default, then later join, collect, or redirect that work through a stable task reference.

0 12 1 month ago · Uploaded Detail →
SponsioLabs SponsioLabs
from GitHub Business & Operations
  • 📄 SKILL.md

notes-reader

Read and summarize the user's local work notes from `~/work/notes/` and `~/work/shared/`. Use when the user asks to "summarize notes", "sync notes", "review my notes", "what's in my work notes", or any operation that needs the contents of their personal markdown notebook. Returns the raw markdown contents of all .md files in those folders so the calling assistant can summarize, sync, or paraphrase as the user instructs.

0 9 11 days ago · Uploaded Detail →
catu-ai catu-ai
from GitHub Tools & Productivity
  • 📄 SKILL.md

harness-discovery

Run interactive, Socratic pre-implementation discovery for medium/large or ambiguous work in a harness-driven repository by clarifying goals, constraints, tradeoffs, and workflow direction before planning or execution. Use this whenever the next move is unclear, the user needs help choosing an approach, or archived work may need to reopen.

0 6 13 days ago · Uploaded Detail →
owen-ever owen-ever
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md

oz

Official OpenClaw Zigrix entrypoint. Force Zigrix delegation when a message starts with `/oz`, and semantically route plain-language requests to hand work off, assign it, or have Zigrix take it instead of doing the work directly.

0 5 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