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概要と使いどころ
Expert PE review of a submittal (shop drawings, product data, samples, equipment brochures) against specs, drawings, code questions and trade coordination. Produces findings with both sources, trade routing and a completeness gate. Triggers: 'review submittal', 'review shop drawings'.
日本語の概要は準備中です。原文の説明を表示しています。
Construction document review with PE judgment — RFI research, submittal analysis, coordination checking, scope gap detection. Use when reviewing drawings, specs, submittals, or RFIs. Triggers: 'review', 'coordination', 'what's missing'.
日本語の概要は準備中です。原文の説明を表示しています。
Draft RFIs and manage the ambient issue registry. Reviews issues surfaced by other skills, escalates to formal RFIs. Triggers: 'draft RFI', 'write RFI', 'drawing conflict', 'review issues', 'issue queue'.
日本語の概要は準備中です。原文の説明を表示しています。
Operating guide for construction project documents — load before reading drawings, specs, schedules, RFIs, submittals or bids. Data-access rules (never read PDFs directly; rasterize first), AgentCM graph-guided vision, drawing and cross-reference conventions, document precedence. Triggers: 'construction project', 'drawings', 'specs', 'sheet', 'RFI', 'submittal'.
日本語の概要は準備中です。原文の説明を表示しています。
Generate a complete subcontract from a firm's template, awarded bid, and project specs. Outputs a Word document. Triggers: 'subcontract', 'sub agreement', 'write contract', 'draft subcontract'. Requires awarded bid.
日本語の概要は準備中です。原文の説明を表示しています。
Scope-specific code gap analysis — extracts referenced codes from project docs, researches what should apply, surfaces the delta. Triggers: 'code research', 'what codes apply', 'code check', 'ADA requirements', 'egress'.
日本語の概要は準備中です。原文の説明を表示しています。
Count-based quantity takeoff and tag completeness auditing for construction drawings. Vision + OCR reconciliation, sheet markup, Excel QTO output. Triggers: 'tag audit', 'quantity takeoff', 'QTO', 'count fixtures'.
日本語の概要は準備中です。原文の説明を表示しています。
Split a bound drawing set PDF into individual sheet PDFs. Extracts sheet numbers from title blocks via vision, renames files. Triggers: 'split drawings', 'break up the drawing set', 'separate sheets'. Run after /project-setup.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluate tabulated subcontractor bids against specs and drawings — scope gap analysis, exclusion risk scoring, award recommendation. Triggers: 'evaluate bids', 'bid evaluation', 'lowest responsible bidder'.
日本語の概要は準備中です。原文の説明を表示しています。
Extract data from subcontractor bid PDFs and produce a comparison spreadsheet. Feeds into /bid-evaluator. Triggers: 'tabulate bids', 'bid comparison', 'compare bids', 'buyout analysis', 'bid tab'.
日本語の概要は準備中です。原文の説明を表示しています。
Extract all submittal requirements from specification sections and generate a comprehensive submittal register in Excel. Triggers: 'submittal log', 'extract submittals', 'submittal register'. Requires /spec-splitter output.
日本語の概要は準備中です。原文の説明を表示しています。
Enable, disable, and manage Claude Code skills. Use when the user asks to enable/disable/toggle/manage skills, check skill status, list skills, manage skill collections, or clean up the skills directory.
日本語の概要は準備中です。原文の説明を表示しています。
Discover, message, and coordinate AI coding agents (Claude Code, Codex CLI) running on the same machine via a shared Unix socket broker backed by SQLite. The broker wakes recipients natively (Claude inbox socket, codex queue) and turn-boundary hooks catch missed wakes. Supports cross-session task delegation, peer summaries, and session lifecycle management. Triggers on 'peer agents', 'cross-session communication', 'message Codex', 'inter-agent messaging', 'coordinate agents'.
日本語の概要は準備中です。原文の説明を表示しています。
Run GGUF models directly, load LoRA adapters, benchmark inference speed, and serve models via llama-server using llama.cpp. Includes Qwen 3.5 serve scripts (9B dense + F16, 35B MoE) with asymmetric KV cache and thinking mode. Secondary to Ollama; use when needing direct model control or LoRA hot-loading. Triggers on 'llama.cpp', 'GGUF', 'LoRA adapter', 'benchmark inference', 'llama-server'.
日本語の概要は準備中です。原文の説明を表示しています。
Render Mermaid diagrams as ASCII/Unicode art for terminal display or as SVG files. Use when visualizing flowcharts, state machines, sequence diagrams, class diagrams, or ER diagrams. Supports 17 themes (including vellum, tokyo-night, catppuccin, nord, dracula, github) plus custom colors via --colors JSON.
日本語の概要は準備中です。原文の説明を表示しています。
Convert Figma designs into production-ready code using MCP server tools. Use this skill when users provide Figma URLs, request design-to-code conversion, ask to implement Figma mockups, or need to extract design tokens and system values from Figma files. Works with frames, components, and entire design files to generate HTML, CSS, React, or other frontend code.
日本語の概要は準備中です。原文の説明を表示しています。
Web terminal server: manage the wterm-server daemon for browser-based shell access (local or remote via Tailscale). This skill should be used when checking wterm status, listing or creating terminal sessions, killing sessions, or managing the wterm LaunchAgent. Trigger on: wterm, web terminal, remote terminal, remote shell, browser terminal, terminal sessions.
日本語の概要は準備中です。原文の説明を表示しています。
Local speech-to-text on Apple Silicon with two cross-checking MLX engines: NVIDIA Parakeet TDT v2 (parakeet-mlx) and Qwen3-ASR 1.7B (mlx-audio, hotword biasing). Batch JSONL with word timestamps, confidence, provenance, and an agreement verdict. No NeMo or PyTorch. Use when transcribing audio files, identifying game or legacy voice clips by content, telling speech from SFX, serving an OpenAI-compatible STT endpoint, or dictating. For push-to-talk into any text field, use the Handy app.
日本語の概要は準備中です。原文の説明を表示しています。
Unified web and social media search across 5 providers (Brave, Tavily, Xpoz, Exa, Firecrawl). Auto-routes queries to the best API, supports parallel multi-provider search with deduplication, AI-generated answers, and social media search. Triggers on web search, find news, search Twitter, search Reddit, social media search, multi-provider search, omnisearch, research news, OSINT, search for, look up, find information about.
日本語の概要は準備中です。原文の説明を表示しています。
Scrape pages locally with anti-bot bypass, TLS impersonation, and adaptive element tracking — no API keys, no cloud. Handles Cloudflare protection, CSS/XPath element extraction, and survives site redesigns. Complements firecrawl (cloud) with 100% local execution. Triggers on Cloudflare bypass, anti-bot scraping, stealth fetch, local scraping, Scrapling.
日本語の概要は準備中です。原文の説明を表示しています。
Configure and manage Supabase projects using MCP (Model Context Protocol). Use this skill when working with Supabase databases, setting up MCP servers, designing database schemas, implementing Row Level Security, managing migrations, or building modern data architectures with PostgreSQL. Essential for Supabase development, database design, and AI-powered database operations.
日本語の概要は準備中です。原文の説明を表示しています。
Slack workspace integration: 9 on-demand scripts (post, read, delete, search, stream, react, upload, channels, users) + dual-token support + RTS API search + chat streaming + AI Block Kit + Session Bridge + Claudicle unified launcher (Claude Agent SDK, soul engine, three-tier memory).
日本語の概要は準備中です。原文の説明を表示しています。
Search the web and fetch page contents with Keenable AI — web search, page extraction, point-in-time queries, prompt-driven content extraction. Use when searching the web for current information, fetching webpage contents, extracting specific data from URLs, or researching topics with citations. Triggers on: web search, search the web, fetch page, read URL, find pages about, current information, Keenable, keen search, research with sources, look up, latest news, find information, check online, what is, who is.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used to spawn specialized OpenAI Codex CLI subagents for code review, debugging, architecture analysis, security audits, refactoring, documentation, comparative evidence adjudication, and autonomous /goal runs. It adds each persona through process-local developer instructions while preserving the project's AGENTS.md chain, including during parallel launches. Supports GPT-6-Astra across low, medium, high, xhigh, max, and ultra reasoning with default or priority service tiers, plus GPT-5.6 and GPT-5.5 models. Triggers on 'delegate to Codex', 'Codex Astra', 'Astra subagent', 'Codex subagent', 'code review agent', 'security audit', 'refactor with Codex', 'goal run', 'autonomous goal', 'have Codex weigh this'.
日本語の概要は準備中です。原文の説明を表示しています。