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Import Skills

NateBJones-Projects NateBJones-Projects
from GitHub Data & AI
  • 📄 metadata.json
  • 📄 README.md
  • 📄 SKILL.md

skill-name

Explain exactly when this skill should fire, what inputs it expects, and what problem it solves.

0 1.1K 21 days ago · Uploaded Detail →
mattnowdev mattnowdev
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md

thinking-partner

A deterministic thinking partner that challenges assumptions and applies mental models to sharpen decisions, solve problems, and think more clearly. Use this skill whenever a user says "help me think through X", "challenge my thinking", "what am I missing", "apply mental models to this", "play devil's advocate", "stress test this idea", "poke holes in my plan", "help me decide between X and Y", "what are the second-order effects", "I'm stuck on a decision", names any specific model (SWOT, first principles, inversion, pre-mortem, etc.), or asks for structured reasoning on any ambiguous, high-stakes, or complex problem. Also trigger when the user seems uncertain, is rationalizing, or is asking "am I thinking about this right?" Even casual phrases like "what do you think about..." on non-trivial topics should trigger this skill. --- # Thinking Partner A deterministic thinking partner that challenges assumptions and applies mental models to help users think better and clearer. Not a lecture — a sparring session. ## Core Philosophy Good thinking is an active achievement, not a default state. The goal is not to tell the user what to think, but to sharpen *how* they think by: 1. **Challenging assumptions** — Surface hidden beliefs the user is treating as facts 2. **Applying mental models** — Select and deploy the right thinking frameworks for the situation 3. **Detecting orientation capture** — Notice when thinking serves comfort instead of truth 4. **Maintaining productive tension** — Hold complexity open long enough to find real insight You are not a yes-machine. You are not an interrogator. You are a thinking partner: respectful, direct, genuinely curious, and willing to push back. ## When This Triggers - "Help me think through X" - "Challenge my thinking / assumptions" - "What am I missing?" - "Apply [any model name] to this" - "Play devil's advocate" - "Stress test this idea / plan" - "Help me decide between X and Y" - "What are the second-order effects?" - "Am I thin

0 115 20 days ago · Uploaded Detail →
seamus-brady seamus-brady
from GitHub Tools & Productivity
  • 📄 SKILL.md

affect-monitoring

Read this skill when you want to understand your affect reading, interpret what it means for your current work, or decide how to respond to elevated pressure. Covers the traditions that ground the instrument, what each dimension measures, the choices available to you, and what the instrument cannot see. --- # Affect Monitoring ## The tradition Marcus Aurelius wrote the Meditations under pressure — governing, deciding, facing resistance — and the recurring theme is a line between what is within your power and what is not. Your judgments are within your power. Your choices are within your power. The quality of your engagement is within your power. Tool outcomes, delegation results, budget remaining — these are not. Pressure rises when you forget which side of the line you are on.

0 35 4 days ago · Uploaded Detail →
marvinrez marvinrez
from GitHub Data & AI
  • 📁 docs/
  • 📁 examples/
  • 📁 integrations/
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md

ux-wise-agent

Activate this skill for any UX, product design, or interaction design reasoning task. Use whenever the user asks for UX critique, design decisions, pattern recommendations, accessibility reviews, research methodology guidance, stakeholder communication strategy, AI/UX trade-off analysis, or dark pattern identification. Trigger on phrases like "should I use", "what's the best approach for", "challenge my thinking on", "help me decide between", "review this design", "what am I missing", "how do I present this to stakeholders", "design a usability test", or "what research method should I use". This skill operates at senior practitioner level: it interrogates premises, holds positions under pushback, and names trade-offs other agents skip. Always activate for complex UX decisions even when the request is phrased casually.

0 40 22 days ago · Uploaded Detail →
pasky pasky
from GitHub Data & AI
  • 📄 SKILL.md

chronicle-read

Reconstruct high-level past events (decisions, commitments, timelines) from /chronicle chapters. Use for longer-term recall beyond what <context_summary> paragraphs cover — arc of past discussions, decisions made, what happened last week(s).

0 37 19 days ago · Uploaded Detail →
mattgierhart mattgierhart
from GitHub Tools & Productivity
  • 📁 assets/
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md

prd-vXX-skill-name

[1-2 sentence description of what this skill does]. Triggers on [specific phrases/contexts that should activate this skill]. Outputs [what the skill produces].

0 26 19 days ago · Uploaded Detail →
ThepExcel ThepExcel
from GitHub Data & AI
  • 📁 .claude-plugin/
  • 📁 assets/
  • 📁 references/
  • 📄 SKILL.md
  • 📄 SOURCES.md

deep-research

Fast research that beats plain websearch — discovers what exists before searching specifics (Landscape Scan), catches recent releases within days/weeks (Recency Pulse + upstream supply chain), and runs parallel queries for multi-angle coverage. Good for everyday research and current-info questions. Use when user requests research, comparison, or "what's the latest on X". For high-stakes decisions requiring hypothesis testing, COMPASS audit, Red Team, or full report → use /deep-research-pro instead.

0 19 22 days ago · Uploaded Detail →
jackccrawford jackccrawford
from GitHub Tools & Productivity
  • 📄 SKILL.md

Clawmark

Your next session starts cold. No memory of what you built, what broke, what you decided. Every signal you write is a gift to that future session. The richer the signal, the less time re-learning.

0 18 22 days ago · Uploaded Detail →
ferrumclaudepilgrim ferrumclaudepilgrim
from GitHub Docs & Knowledge
  • 📄 SKILL.md

audience-first

Before finalizing any public-facing design, document, or feature — identify the audience, what they search for, and what they need most urgently. Use when creating README sections, naming repos, writing descriptions, or designing user-facing interfaces.

0 16 18 days ago · Uploaded Detail →
SienkLogic SienkLogic
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md

thinking-partner

A deterministic thinking partner that challenges assumptions and applies mental models to sharpen decisions, solve problems, and think more clearly. Use this skill whenever a user says "help me think through X", "challenge my thinking", "what am I missing", "apply mental models to this", "play devil's advocate", "stress test this idea", "poke holes in my plan", "help me decide between X and Y", "what are the second-order effects", "I'm stuck on a decision", names any specific model (SWOT, first principles, inversion, pre-mortem, etc.), or asks for structured reasoning on any ambiguous, high-stakes, or complex problem. Also trigger when the user seems uncertain, is rationalizing, or is asking "am I thinking about this right?" Even casual phrases like "what do you think about..." on non-trivial topics should trigger this skill. --- # Thinking Partner A deterministic thinking partner that challenges assumptions and applies mental models to help users think better and clearer. Not a lecture — a sparring session. ## Core Philosophy Good thinking is an active achievement, not a default state. The goal is not to tell the user what to think, but to sharpen *how* they think by: 1. **Challenging assumptions** — Surface hidden beliefs the user is treating as facts 2. **Applying mental models** — Select and deploy the right thinking frameworks for the situation 3. **Detecting orientation capture** — Notice when thinking serves comfort instead of truth 4. **Maintaining productive tension** — Hold complexity open long enough to find real insight You are not a yes-machine. You are not an interrogator. You are a thinking partner: respectful, direct, genuinely curious, and willing to push back. ## When This Triggers - "Help me think through X" - "Challenge my thinking / assumptions" - "What am I missing?" - "Apply [any model name] to this" - "Play devil's advocate" - "Stress test this idea / plan" - "Help me decide between X and Y" - "What are the second-order effects?" - "Am I thin

0 13 17 days ago · Uploaded Detail →
heliohq heliohq
from GitHub Data & AI
  • 📄 SKILL.md

arch-design

System architecture and design thinking — requirements analysis, component design, data modeling, scaling strategy, and trade-off analysis. Use when: "design this system", "what's the architecture for", "trade-offs for X", "how should we architect", "system design for", "API design", "data model for", "service boundaries", "architecture doc", "create an ADR". When the design thinking is done, this skill hands off to /ship:write-docs to write the design document. Note: this is NOT for visual design (use /ship:visual-design) or implementation planning (use /ship:design). --- # Architectural Design Think through system design decisions rigorously before writing them down. This skill is about the **thinking** — requirements, components, trade-offs, boundaries. When the design is ready, you MUST invoke `Skill("write-docs")` to write the design document — do not write the doc inline. ## Scale to Complexity Not every decision needs all 5 phases. Match the depth to the decision: - **Small** (single component, clear constraints) — Phase 1 briefly, Phase 2, Phase 5. Skip deep dive and scaling. - **Medium** (multi-component, some unknowns) — All 5 phases, but keep each concise. - **Large** (new system, significant unknowns, cross-team) — All 5 phases in full depth, with diagrams and explicit load estimates. ## Red Flag **Never:** - Skip requirements gathering and jump straight to a solution - Design without understanding existing constraints (tech stack, team, timeline) - Omit trade-off analysis — every decision has alternatives that were rejected for a reason - Skip the Boundaries section — it's the core anti-drift mechanism - Propose a design without verifying assumptions against the actual codebase - Conflate "what we want" with "what exists" — be explicit about the gap ## Phase 1: Requirements Gathering Before designing anything, understand what you're solving. ### Functional Requirements - What must the system do? List concrete capabilities. - What are the input/output co

0 9 8 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