Essential command-line tools and system utilities.
This skill should be used when the user asks to "/gobby-sessions", "list sessions", "session handoff", "pickup session". Manage agent sessions - list, show details, handoff context, search messages, and resume previous work.
Execute multiple Claude Code agents in parallel using the cpo CLI tool. Use when running parallel tasks, monitoring execution, or understanding the execution workflow.
This skill activates for web scraping and Actor development. It proactively discovers sitemaps/APIs, recommends optimal strategy (sitemap/API/Playwright/hybrid), and implements iteratively. For production, it guides TypeScript Actor creation via Apify CLI.
Designs RESTful APIs, GraphQL schemas, and RPC interfaces following best practices for consistency, usability, and scalability. Trigger keywords: api design, rest api, graphql, openapi, swagger, endpoint, schema design.
This skill should be used when the user asks to "/gobby-plan", "create plan", "plan feature", "write specification". Guide users through structured specification planning and task creation.
Search and analyze Claude Code conversation history. Use when user asks about past conversations, previous solutions, what was discussed earlier, finding something from history, or analyzing usage patterns. Triggers include "what did we discuss", "find that conversation", "search history", "past sessions", "how much time", "token usage", "which tools".
Guide for creating effective Agent Skills in Claude Code. 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. Use when working specifically with Claude Code's Skills system.
Use when asked to create or update skills or extend agent capabilities in this configuration.
Creates Claude Code skills, hooks, MCP configs, and custom agents. Use when user wants to create a skill, needs help with SKILL.md, asks about hooks, MCP servers, sub-agents, or autonomous workflows like Ralph loop.
Generate agent-ready prompts from existing task specification files. Use when regenerating prompts after editing tasks, updating prompt templates, or preparing tasks for cpo execution.
Teaches agents how to author slide-structured HTML that renders professionally to PPTX with proper sizing, styling, color schemes, and citation handling for business presentations, technical decks, and executive briefings.
Multi-model AI council for actionable project advice. Leverages Gemini 3 Flash and GPT-5.2 skills in parallel, then synthesizes through an Opus Judge for stage-appropriate, non-overkill recommendations. Use when seeking architectural guidance, code review synthesis, or implementation planning.
Capture solved problems as searchable documentation with pattern detection. This skill auto-triggers when users confirm a fix worked ("that worked", "it's fixed", "working now") or manually via /compound command.
GreyCat C API and GCL Standard Library reference. Use for: (1) Native C development with gc_machine_t context, tensors, objects, memory management, HTTP, crypto, I/O; (2) GCL Standard Library modules - std::core (Date/Time/Tuple/geospatial types), std::runtime (Scheduler/Task/Logger/User/Security/System/OpenAPI/MCP), std::io (CSV/JSON/XML/HTTP/Email/FileWalker), std::util (Queue/Stack/SlidingWindow/Gaussian/Histogram/Quantizers/Random/Plot). Keywords: GreyCat, GCL, native functions, tensors, task automation, scheduler.
Interactive task definition with Q&A and documentation.
Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, complex debugging, architecture decisions). Solves long-running agent context exhaustion by enabling fresh agents to continue with zero ambiguity.
スキルを作成・更新・プロンプト改善するためのメタスキル。 3つのモード（create/update/improve-prompt）を提供し、 Script Firstで100%再現可能な実行を実現する。 Anchors: • Continuous Delivery (Jez Humble) / 適用: 自動化パイプライン / 目的: 決定論的実行 • The Lean Startup (Eric Ries) / 適用: Build-Measure-Learn / 目的: 反復改善 • Domain-Driven Design (Eric Evans) / 適用: ユビキタス言語 / 目的: 一貫した語彙 Trigger: 新規スキルの作成、既存スキルの更新、プロンプト改善を行う場合に使用。 スキル作成, スキル更新, プロンプト改善, skill creation, skill update, improve prompt
Create custom agents for Claude Code including YAML frontmatter, system prompts, tool restrictions, and discovery optimization. Use when creating, building, or designing agents, or when asked about agent creation, subagent configuration, Task tool delegation, or agent best practices.
Guide for creating and configuring AI agents in the DEVS platform. Use this when asked to create new agents, modify agent behavior, or work with agent YAML/JSON files.
Build Keynote-style single-file HTML slide decks with brand-ready templates, minimal navigation, and Gemini nano banana media generation. Includes Narrative Engine integration for framework-driven deck creation with 17 proven storytelling structures and 5-agent review panel. Use when creating or editing slide decks, transforming content into presentations, or generating slide visuals.
Build React chat interfaces with Vercel AI SDK v5/v6. Agent integration, tool approval, auto-submit. Use when: implementing AI SDK v5/v6 chat UIs or troubleshooting "useChat failed to parse stream", "useChat no response", or "stale body values" errors.
