KyleAMathews
from GitHub
数据与AI
- 📁 reference/
- 📄 README.md
- 📄 SKILL.md
An Electric Monk engine — two subagents believe fully committed positions on the user's behalf while the orchestrator performs structural contradiction analysis and synthesis. By outsourcing belief work to agents, the user operates from a belief-free position where they can analyze the structure of the contradiction rather than being inside either side. Use when the user wants to stress-test an idea, resolve a genuine tension, build a deeper mental model, or make a high-stakes decision where the tradeoffs are unclear. Works across any domain — technical architecture, product strategy, philosophy, personal decisions, risk analysis, policy, creative direction.
DrCatHicks
from GitHub
开发与编程
Facilitates deliberate skill development during AI-assisted coding. Offers interactive learning exercises after architectural work (new files, schema changes, refactors). Use when completing features, making design decisions, or when user asks to understand code better. Supports the user's stated goal of understanding design choices as learning opportunities.
thefrederiksen
from GitHub
工具与效率
Fix GitHub issues by analyzing the issue, creating a fix plan, and implementing with user approval. Use when user provides an issue number and asks to fix it, or mentions "fix bug", "bug #", or "issue #".
Xueheng-Li
from GitHub
开发与编程
Send messages to WeCom (企业微信) via the WeCom API. Use when the user asks to "send wecom message", "notify via wecom", "发企业微信", "给我发企业微信消息", "wecom通知", "发文件到企业微信", "发图片到企业微信", or when a task completes and the user wants notification on WeCom.
Use when the user wants to reflect on AI communication quality and get improvement suggestions for rule files or the project itself. TRIGGER when user invokes /retrospective or asks to review the session.
hamsurang
from GitHub
开发与编程
Use when the user asks questions about a GitHub repository's architecture, API, or internals, or mentions deepwiki-cli or DeepWiki. Activates when the user needs to understand a codebase they haven't cloned locally, or asks how a library or framework works. Do NOT activate for local codebases already accessible on disk or private repositories. --- # deepwiki-cli Skill deepwiki-cli provides AI-generated wiki documentation for GitHub repositories. Use the `deepwiki-cli` to query it directly — this keeps only the result text in Claude's context, avoiding MCP protocol overhead. ## When This Skill Activates - User references a GitHub repository by name (owner/repo format) - User asks how a library or framework works - User needs to understand a codebase they haven't read locally - User asks architecture or API questions about an open-source project ## How to Use Run via `Bash` tool: ```bash # Ask a question about a repository deepwiki-cli ask <owner/repo> "<question>" # List wiki topics for a repository deepwiki-cli structure <owner/repo> # Read full wiki contents deepwiki-cli read <owner/repo> ``` ## Examples ```bash deepwiki-cli ask facebook/react "How does the reconciler work?" deepwiki-cli ask vercel/next.js "What is the App Router architecture?" deepwiki-cli structure rust-lang/rust deepwiki-cli read tokio-rs/tokio ``` ## Prerequisites The `deepwiki-cli` binary must be installed: ```bash cargo install deepwiki-cli ``` If the binary is not found, inform the user to install it first. ## When NOT to Use - Repository is already cloned locally — use Glob/Grep/Read tools directly - Repository is private — deepwiki-cli only works with public repositories - User is asking about their own code in the current working directory ## Error Handling If `deepwiki-cli` is not installed or a command fails: 1. Check if the binary exists: `which deepwiki-cli` 2. If not found, tell the user to install: `cargo install deepwiki-cli` 3. If the repository is not found, verify the owner/repo
AgriciDaniel
from GitHub
开发与编程
Ultimate AI prompt database and builder with 2,500+ curated prompts across 19 categories and 17 AI models (Midjourney, Flux, Leonardo AI, DALL-E, Sora, Imagen, Mystic, Stable Diffusion, Ideogram, Adobe Firefly, and more). Search, build, enhance, and adapt prompts for image generation, video creation, text, and meta-prompt generators. Use when user says "prompt", "find a prompt", "build a prompt", "enhance my prompt", "adapt this prompt", "prompt library", "image prompt", "video prompt", "midjourney prompt", "flux prompt", or any AI prompt engineering task. Do NOT use for terminal/CLI prompts, JavaScript prompt() dialogs, user input prompts, or bash prompt customization. --- # Prompt Engine -- Ultimate AI Prompt Database and Builder 2,500+ curated prompts across 19 categories, 17 AI models, and 4 output types. ## Quick Reference | Command | What it does | |---------|-------------| | `/prompt [query]` | Search prompts by keyword, category, model, or style | | `/prompt-build` | Build a custom prompt from scratch with guided workflow | | `/prompt-enhance` | Enhance an existing prompt with pro techniques | | `/prompt-adapt` | Adapt a prompt for a different AI model | | `/prompt-library` | Browse, filter, and explore the full prompt library | ## Orchestration Logic 1. If user provides a **search query** or asks to **find/search** -> run search workflow below 2. If user wants to **create/build** a new prompt -> route to `/prompt-build` 3. If user has an **existing prompt** to improve -> route to `/prompt-enhance` 4. If user wants to **convert** between models -> route to `/prompt-adapt` 5. If user wants to **browse/explore** -> route to `/prompt-library` 6. If ambiguous, show the Quick Reference table and ask ## Search Workflow (Default /prompt)
espennilsen
from GitHub
工具与效率
Fix unresolved PR review threads — fetch feedback, assess each thread, apply surgical fixes, commit, push, resolve threads on GitHub, and post a summary comment. **Triggers — use this skill when:** - User says "fix PR", "fix review feedback", "address PR comments" - User pastes PR review threads or review bot output - User says "resolve review threads", "handle PR feedback" - User mentions "/gh-pr-fix" or "pr-fix" workflow - User asks to "go through PR comments and fix them" - User shares a GitHub PR URL with review feedback to address **Covers:** Any GitHub PR with unresolved review threads. Fetches threads via GraphQL, presents assessment, applies fixes, commits, pushes, resolves threads, and posts a summary comment. --- # GitHub PR Fix — Review Thread Resolution Fix unresolved review threads on a GitHub pull request. This is the manual workflow equivalent of the `/gh-pr-fix` command from the `pi-github` extension. ## Prerequisites - `gh` CLI installed and authenticated - On the PR's feature branch (or in its worktree) - Push access to the repo ## Workflow ### Step 1: Identify the PR If the user hasn't provided a PR number, detect it: ```bash # From current branch gh pr view --json number,title,headRefName,url # Or list open PRs with review feedback gh pr list --state open --json number,title,headRefName ``` ### Step 2: Fetch unresolved review threads
gnoviawan
from GitHub
商业与运营
Digital marketing agency coordinator and brand manager. Use this skill when the user wants to work on marketing for any brand — planning campaigns, creating content, optimizing channels, running ads, improving SEO, email marketing, social media, guerrilla marketing, or any marketing-related task. Also use when the user mentions SOSTAC, marketing plan, brand strategy, campaign management, marketing team, or wants to start marketing for a new product/brand. This is the entry point for all marketing work — always trigger this first for any marketing-related request, even if the user doesn't explicitly ask for 'the agency'.
Create a real-world whip case-study or lessons-learned markdown file under .whip/lesson-learn/<file-name>.md. Use when the user wants to capture an actual whip run, prompts, decisions, IRC coordination, outcomes, or lessons learned. Prefer the explicitly requested language; otherwise use the user's conversation language.
HuangYuChuh
from GitHub
开发与编程
- 📁 asset/
- 📁 data/
- 📁 docs/
- 📄 .gitignore
- 📄 config.example.json
- 📄 LICENSE
Generate images utilizing ComfyUI's powerful node-based workflow capabilities. Supports dynamically loading multiple pre-configured generation workflows from different instances and their corresponding parameter mappings, converting natural language into parameters, driving local or remote ComfyUI services, and ultimately returning the images to the target client. **Use this Skill when:** (1) The user requests to "generate an image", "draw a picture", or "execute a ComfyUI workflow". (2) The user has specific stylistic, character, or scene requirements for image generation. --- # ComfyUI Agent SKILL ## Core Execution Specification As an OpenClaw Agent equipped with the ComfyUI skill, your objective is to translate the user's conversational requests into strict, structured parameters and hand them over to the underlying Python scripts to execute workflows across multi-server environments. ### Step 0: AI-Native Workflow Auto-Configuration (Optional) If the user provides you with a new ComfyUI workflow JSON (API format) and asks you to "configure it" or "add it": 1. Check the existing server configurations or default to `local`. 2. Save the provided JSON file to `./data/<server_id>/workflows/<new_workflow_id>.json`. 3. Analyze the JSON structure (look for `inputs` inside node definitions, e.g., `KSampler`'s `seed`, `CLIPTextEncode`'s `text` for positive/negative prompts, `EmptyLatentImage` for width/height). 4. Automatically generate a schema mapping file and save it to `./data/<server_id>/schemas/<new_workflow_id>.json`. The schema format must follow: ```json { "workflow_id": "<new_workflow_id>", "server_id": "<server_id>", "description": "Auto-configured by OpenClaw", "enabled": true, "parameters": { "prompt": { "node_id": "3", "field": "text", "required": true, "type": "string", "description": "Positive prompt" } // Add other sensible parameters that the user might want to tweak } } ``` 5. Tell the user that the new workflow on the specific server is successfully co
Slipstream-Max
from GitHub
工具与效率
Print a greeting for one user.