Discover testing security llm ai skills, compare source repositories and read the instructions for each workflow.
Store important project context in Engram Cogitator's persistent memory. Use after making architectural decisions, discovering codebase gotchas or workarounds, identifying recurring patterns, or when user state...
タスク完了前のセルフレビュー。Gemini CLI + Claude subagentで多角的に検証。
Framework for retrospectives at any time scale (daily, weekly, monthly, quarterly, yearly). Trigger with "daily retro", "weekly retro", "monthly retro", "[month] retro" (e.g., "december retro", "january retro")...
Initial project setup for goal coaching system. Use when user says "set up my project", "configure my coaching project", "initialize my goals", or when starting a fresh coaching project with no existing Project...
Framework for starting new daily chat with gentle context loading from previous session's summary. Use when user says "good morning", starts new chat with minimal prompt, or explicitly requests morning brief. L...
Transform vague requirements into production-grade prompts using evidence-based principles. Diagnose prompt issues, define boundaries, and iterate to quality.
Generate SEO-optimized articles with proper structure. Use when creating blog posts or documentation.
Create new Claude Code skills with proper structure. Use when building custom skills or automating workflows.
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven...
This skill should be used when the user asks to "create a skill", "write a skill", "edit a skill", "update a skill", "improve skill description", "add skill to plugin", "organize skill content", "create SKILL.m...
This skill should be used when the user asks to "create CLAUDE.md", "initialize CLAUDE.md", "sync CLAUDE.md with code", "update documentation from codebase", "create .claude/rules/", "manage modular rules", "sp...
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command w...
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomou...
Meta-skill for creating structured documents using proven templates. [VAD] Creates PRDs, RFCs, ADRs, project briefs, proposals, specs, meeting notes. Template-based document generation with quality checklists....
This skill helps capture unstructured thoughts (via text or voice) across multiple turns and converts them into structured memos that are saved to a Notion inbox database. Use when the user wants to create a me...
Store and manage coding context in git. Use when saving decisions, tracking tasks, planning complex work, or coordinating with other agents. Activates on mentions of "save context", "track task", "planning", or...
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets...
Search for and install agent skills from Hugging Face. Use this skill when users want to discover new skills, browse available skills on the Hub, or install skills to extend agent capabilities.
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, and streaming row updates. Designed to work alongside HF MCP server for comprehensive dataset workfl...
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/...
Generate and edit images using the Gemini API (Nano Banana). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating sticke...
Interactive conversation to clarify user intent step-by-step before creating specifications or solutions. Use when requirements are unclear or user has a new idea to explore.
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
Auto-generate renderers, calculate statistics, and create data-driven visualizations. Use for class breaks, unique values, heatmaps, dot density, relationship maps, and getting histogram/summary statistics.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.