dev-graph-exports
Export Dev Graph UI assets and dashboard data. Use when the user asks for structure SVG exports, timeline SVG/MP4 exports, per-commit SVGs, sprint-linked visuals, or dashboard/analytics JSON from the Dev Graph API.
Essential command-line tools and system utilities.
Export Dev Graph UI assets and dashboard data. Use when the user asks for structure SVG exports, timeline SVG/MP4 exports, per-commit SVGs, sprint-linked visuals, or dashboard/analytics JSON from the Dev Graph API.
Semantic code search using osgrep for understanding codebases, finding implementations, and navigating large projects. Use when asked "where is", "how does", "find the code that", or any question about code location or implementation.
Skill deployment and promotion lifecycle management. Use when transitioning skills from APPROVED to DEPLOYED status, or promoting skills from staging to production with SLA enforcement.
Coordinate with other AI agents via project-local Maildir messaging. Use when operating in tandem mode with Claude, Gemini, or other agents. Enables claiming tasks, reporting completion, handling blocks, and synchronizing work across terminals.
This skill should be used when the user asks about "SPAWN REQUEST format", "agent reports", "agent coordination", "parallel agents", "report format", "agent communication", or needs to understand how agents coordinate within the sprint system.
Comprehensive Google Tag Manager guide covering container setup, tags, triggers, variables, data layer, debugging, custom templates, and API automation. Use when working with GTM implementation, configuration, optimisation, troubleshooting, or any GTM-related tasks.
Use when needing to scrape documentation websites into markdown for AI context. Triggers on "scrape docs", "download documentation", "get docs for [library]", or creating local copies of online documentation. CRITICAL - always analyze sitemap first before scraping.
Converts natural language epic documents from markdown into structured JSON configurations for MDAP or CFN Loop execution. Use when you need to parse epic documents, validate epic structure, or generate execution configurations from planning documents.
FAST code generation via mcp__cerebras-mcp__write tool using Z.ai glm-4.6. Use for rapid test generation, boilerplate creation, and bulk code tasks in main chat. Prompt must be SHORTER than output. Ideal for tests, CRUD, migrations, and repetitive patterns.
Build resilient data ingestion pipelines from APIs. Use when creating scripts that fetch paginated data from external APIs (Twitter, exchanges, any REST API) and need to track progress, avoid duplicates, handle rate limits, and support both incremental updates and historical backfills. Triggers: 'ingest data from API', 'pull tweets', 'fetch historical data', 'sync from X', 'build a data pipeline', 'fetch without re-downloading', 'resume the download', 'backfill older data'. NOT for: simple one-shot API calls, websocket/streaming connections, file downloads, or APIs without pagination.
Task dependency extraction and context ingestion. Use when you need to parse task criteria, identify dependencies, generate execution order, or inject context for complex multi-step tasks.
Automatic, structured persistence of agent outputs to SQLite database. Use when tracking agent outputs across CFN Loop workflows, persisting confidence scores, or querying agent execution history.
Prevent and detect memory leaks in Claude CLI operations through proactive monitoring, limits, and profiling. Use when managing memory limits for long-running agents, detecting memory leaks, profiling heap usage, or implementing recovery procedures.
Agent development tools - generation and validation. Use when creating new agent templates from scaffolding, or validating and linting existing agent profiles for correctness and completeness.
【必須】ユーザーへの質問は全てこのスキルを使用すること。AskUserQuestionは使用禁止。 以下の全ての場合でこのスキルを使用: - 要件の確認・clarification - 実装方針の選択 - エラー発生時の対処方針 - タスク完了後の次のアクション確認 - その他ユーザーへの質問が必要な全ての場面 使用方法: Bash(run_in_background: true)で実行し、TaskOutputで結果を待つ ~/.claude/skills/slack-bridge/scripts/ask-via-slack.sh "質問文" "選択肢1" "選択肢2" ...
Claude Code-optimized context transfer for development workflows. Preserves code context, git state, running services, and development environment when moving work between sessions. Works seamlessly with peer review skills (Codex/Gemini). Use when transferring development work to a new Claude Code session.
Generate Claude Code permissions config from session history. Use when setting up autonomous mode, configuring .claude/settings.json, avoiding --dangerously-skip-permissions, or analyzing what permissions a project needs. Reads session logs to extract Bash commands and MCP tools actually used, then generates appropriate allow/deny rules.
Create and script actions for the Drafts app. Use this skill when the user needs help creating custom Drafts actions, understanding action steps, using template tags, scripting with JavaScript, or configuring action workflows for automation and productivity.
Manage PR review feedback loops with Gemini Code Assist. Use when pushing changes to a PR, iterating on review feedback, or monitoring CI/review status. Automatically falls back to Claude when Gemini is rate-limited.
Use when user EXPLICITLY requests "custom integration", "custom component", "Python for HA", "HACS", or "config_flow". NOT for: YAML automations (use home-assistant skill), Node-RED flows (use node-red skill), ESPHome device configs (use esphome skill).
[CLAUDE CODE ONLY] Leverage Codex CLI for AI peer review, second opinions on architecture and design decisions, cross-validation of implementations, security analysis, and alternative approach generation. Requires terminal access to execute Codex CLI commands. Use when making high-stakes decisions, reviewing complex architecture, or when explicitly requested for a second AI perspective. Must be explicitly invoked using skill syntax.
FAST code generation via Z.ai glm-4.6 model. Use for rapid test generation, boilerplate code, repetitive patterns, and bulk file creation. Ideal when speed matters more than nuance. Do NOT use for complex architectural decisions or security-critical code.
High-fidelity context transfer protocol for moving conversations between AI agents. Preserves decision tempo, open loops, and critical context with graceful degradation. Use when the user says "transfer," "handoff," "continue this in another chat," or needs to work around context window limits. Produces structured artifacts (Minimal ~200 words, Full ~1000 words). DO NOT trigger on simple "summarize our conversation" requests—only when transfer intent is explicit.