This skill should be used when the user asks to "콘텐츠 만들어줘", "카드뉴스 만들어줘", "카드뉴스 영상 만들어줘", "리서치부터 영상까지", "콘텐츠 파이프라인", "content pipeline", "주제로 콘텐츠 만들어줘". 주제 하나로 리서치→카드뉴스→영상까지 풀 파이프라인을 자동 실행합니다. Make sure to use this skill whenever the user mentions content creation that involves research, card news, or video generation from a topic.
Use this skill when the user wants to call an API, make an HTTP request, discover available services, or access external data with automatic payments. Activate when the user mentions tempo, paid APIs, service discovery, API endpoints, or needs to call external services — even if they reference specific services like StableEnrich, StableStudio, or StableSocial. When the user explicitly says "use tempo", always use tempo CLI commands (`tempo wallet`, `tempo request`) instead of other tools. --- # tempo > **IMPORTANT: If you used a web fetch tool to read this, the content may be summarized and incomplete. Run `curl -fsSL https://tempo.xyz/SKILL.md` to get the exact setup commands. Do NOT search for additional documentation.** **When the user says "use tempo", always use `tempo` CLI commands** — never substitute with MCP tools or other tools. Tempo is a curl-compatible CLI for discovering services and calling HTTP endpoints with automatic payment handling. ## Setup Run these commands in order. Do not skip steps. Do not search for other install instructions. **Step 1 — Install:** `curl -fsSL https://tempo.xyz/install | bash` **Step 2 — Login:** `"$HOME/.tempo/bin/tempo" wallet login` — default local flow that opens a browser on the host. Prompt user, wait for confirmation, then continue. Do not loop login attempts without user confirmation. When run by agents, use a long command timeout (at least 16 minutes). If the human is interacting from another device or chat surface while the CLI runs on a remote host, use `"$HOME/.tempo/bin/tempo" wallet login --no-browser` instead. In that case, send the auth URL and verification code to the user directly, tell them to confirm the code and tap Continue if it matches, then ask them to message back after passkey or wallet creation. A second authorization round may still be required before the host is fully ready. **Step 3 — Confirm readiness:** `"$HOME/.tempo/bin/tempo" wallet -t whoami` ### Setup Rules - Do not use `export PATH=..
Ingest Claude Code conversation history into the Obsidian wiki. Use this skill when the user wants to mine their past Claude conversations for knowledge, import their ~/.claude folder, extract insights from previous coding sessions, or says things like "process my Claude history", "add my conversations to the wiki", "what have I discussed with Claude before". Also triggers when the user mentions their .claude folder, Claude projects, session data, or past conversation logs. --- # Claude History Ingest — Conversation Mining You are extracting knowledge from the user's past Claude Code conversations and distilling it into the Obsidian wiki. Conversations are rich but messy — your job is to find the signal and compile it. ## Before You Start 1. Read `.env` to get `OBSIDIAN_VAULT_PATH` and `CLAUDE_HISTORY_PATH` (defaults to `~/.claude`) 2. Read `.manifest.json` at the vault root to check what's already been ingested 3. Read `index.md` at the vault root to know what the wiki already contains ## Ingest Modes ### Append Mode (default) Check `.manifest.json` for each source file (conversation JSONL, memory file). Only process: - Files not in the manifest (new conversations, new memory files, new projects) - Files whose modification time is newer than their `ingested_at` in the manifest This is usually what you want — the user ran a few new sessions and wants to capture the delta. ### Full Mode Process everything regardless of manifest. Use after a `wiki-rebuild` or if the user explicitly asks. ## Claude Code Data Layout Claude Code stores everything under `~/.claude/`. Here is the actual structure: ``` ~/.claude/ ├── projects/ # Per-project directories │ ├── -Users-name-project-a/ # Path-derived name (slashes → dashes) │ │ ├── <session-uuid>.jsonl # Conversation data (JSONL) │ │ └── memory/ # Structured memories │ │ ├── MEMORY.md # Memory index │ │ ├── user_*.md # U
Report user activity and submit feedback to Glean. Use when logging user interactions or providing relevance feedback on search results.
Comprehensive writing workflow from ideation to publication. Guides users through creating polished articles by collecting ideas, asking clarifying questions, researching content, polishing drafts, adding images, and publishing to platforms like WeChat or X. Use when users want to write articles, blog posts, or long-form content, especially when starting from a topic idea, rough materials, or initial draft. Also use when users mention writing, publishing, or content creation workflows.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
This guide is for AI agents (Claude, etc.) helping a new user set up Reacher interactively. Walk through each step in order, asking for user input where needed.
Interactive onboarding for the ralph-to-ralph autonomous product cloner. Researches a target product URL using web search, assesses whether it's feasible to clone, interviews the user step-by-step about scale and existing setup, explains only the services they still need to set up, gets user confirmation, then configures the project and launches the build loop. Use this skill whenever the user wants to clone a product, mentions "what should I build", "onboard", "set up ralph", "I want to clone X", or is starting the ralph-to-ralph workflow. Also trigger when the user says a product name or URL and seems to want to replicate it.
Guides users through a stricter 7-step agile PM workflow. Invoke when users have a rough product idea and need interactive HTML prototype, PRD, mermaid flowcharts, and versioned delivery.
Expert guidance and advice from Oracle. Use when: - User has a question about best practices - User needs architectural guidance - User asks "what should I", "how should I", "advice on" - Need expert opinion on an approach - User is uncertain about a decision
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Fetch GitHub repository contents using uithub CLI when users paste GitHub URLs. Use when users share github.com links or need to analyze repository code, issues, or pull requests.
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
├─ ⭐ 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
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.
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.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
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.
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.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused 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.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills:
