memory-contract
Unified Memory Contract for Project Memory integration. Defines when and how to retrieve and store memory using local files.
Boost efficiency with task automation and organizers.
Unified Memory Contract for Project Memory integration. Defines when and how to retrieve and store memory using local files.
Analyze Claude Code CLI source code to understand its architecture, implementation details, and design patterns. Use when users want to explore how Claude Code works internally, understand specific features like tools/hooks/MCP/permissions, or learn from its codebase design. Triggers on questions about Claude Code internals, source code analysis requests, or "how does Claude Code implement X" queries.
Extract insights from autonomous coding sessions. Use when learning from completions, extracting patterns, analyzing decisions, or improving future performance.
Creating new Claude Code skills for StickerNest. Use when the user asks to create a skill, build a skill, add a new skill, make a Claude skill, or extend Claude's capabilities for this project. Covers skill structure, YAML frontmatter, trigger-focused descriptions, and StickerNest-specific skill patterns.
Launch background Claude sessions to explore and analyze business ideas. Say "Idea: [description]" to trigger.
Meta-skill that orchestrates other skills into intelligent, self-coordinating workflows. Use when complex tasks require multiple skills working together, need automated skill routing based on task analysis, want to save and replay successful skill combinations, need state persistence across skill boundaries, or building multi-stage processing pipelines. Provides 4 modes - QUICK (1-2min, single skill), STANDARD (5-10min, multi-skill chains), DEEP (15-30min, DAG composition), EXPERT (custom, learning optimization).
Ask clarifying questions using AskUserQuestion tool when requirements are unclear to prevent assumptions and misunderstandings. Use when facing ambiguous requirements, missing information, or trade-off decisions before implementation.
Architecture-driven solution outline creation with intelligent module selection and profiles list
Self-review before completing tasks. Multi-perspective verification using Gemini CLI + Claude subagent.
Creates new Claude Skills following Anthropic best practices with proper structure, progressive disclosure, and security. Activates when user mentions "create skill", "new skill", "skill for", "make a skill", "создать skill", "помоги создать skill", or wants to package expertise into reusable capability. Self-contained with templates, examples, and knowledge embedded.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Manages the dynamic skill learning system. Use when you want to list skills, scan transcripts for patterns, learn preferences, approve/reject candidates, rollback versions, view skill history, or check usage statistics. Trigger phrases include "manage skills", "skill learn", "list skills", "approve skill", "skill stats", "skill history", "rollback skill", "scan patterns", "learn preferences".
Meta-skill that detects workflow patterns and suggests creating skills to automate them
This skill provides API route patterns and conventions for the fitness app. Use when creating or modifying API routes, handling authentication, validating requests, or implementing error handling.
Generate production-ready Workscript workflow JSON files for the Workscript Agentic Workflow Engine with built-in defensive guards and complexity detection. Use when asked to create workflows, automations, data pipelines, or generate workflow JSON. IMPORTANT - For complex requests that would result in deeply nested or overly complex workflows, this skill will STOP and suggest developing new custom nodes first using /new-node, then return to create a simpler, more linear workflow. All generated workflows include data validation (validateData node) for structured JSON outputs, input guards, array length checks, and error handling edges. Fetches up-to-date node documentation from the Reflection API when available. Outputs validated .json files to the sandbox prompts folder. Also suitable for Claude Code subagents needing to compose workflows programmatically.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends MiniMax-M2's capabilities with specialized knowledge, workflows, or tool integrations.
Publish Claude Code conversation threads as static HTML pages hosted on GitHub Gists, with shareable gistpreview links. Use when the user asks to share, publish, or delete a Claude Code thread.
Universal guide for creating production-ready Claude Code skills for any project. Includes 6-step workflow (understand, plan, initialize, edit, package, iterate), progressive disclosure design, YAML frontmatter templates, validation scripts, reference organization patterns, and 10 community-proven innovations. Use when creating new Claude Code skills, converting documentation to skills, improving existing skills, or learning skill development best practices for any domain.
Extract learnings and best practices from skill development experience, review findings, and pattern analysis. Task-based operations for pattern extraction, learning documentation, guideline updates, knowledge sharing, and continuous improvement. Use when extracting learnings from completed skills, updating best practices, improving development process, or feeding continuous improvement cycle.
Manage Gemini Deep Research API quotas with rate limiting, exponential backoff, and client-side tracking. Use when handling API quota errors, implementing rate limiting, batch job submission, or when asked about quota limits, rate limiting, throttling, or API quotas.
Intelligent Kubernetes operations using the kubectl-ai plugin. Use when generating, applying, or debugging Kubernetes resources via natural language.
Research external APIs/services/libraries for feature implementation. Interviews user, researches options, confirms choice, gathers implementation notes. Creates .claude/plans file.
Plan and guide Repo Prompt integration and usage in AI coding workflows. Use when integrating Repo Prompt with editors/agents.