3,405 件 ・ 関連度順
概要と使いどころ
Creates structured plans from requirements. Generates comprehensive plans with steps, dependencies, risks, and success criteria. Coordinates with specialist agents for planning input and validates plan completeness. Uses template-renderer for formatted output.
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AI-first security scanning with Medusa. 3,000+ detection patterns covering AI/ML, agents, MCP, RAG, prompt injection, and traditional SAST vulnerabilities. Wraps Medusa CLI with SARIF/JSON parsing, structured finding output, OWASP mapping, and remediation guidance.
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。
Verify that task outputs actually achieve stated goals through 4 progressive levels of verification
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。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
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。
The Agent Tool Contract — 5 principles for designing tools agents call reliably: predictable signature, rich errors, token-efficient output, idempotency, graceful degradation. Includes anti-pattern table with 8 common mistakes.
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Standards for authoring SDD plugin commands — frontmatter, user interaction, skill/agent invocation, CLI integration, and output formatting.
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。
Standards for authoring SDD plugin skills — frontmatter, self-containment, and input/output schemas.
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。
Probe subdomain list with httpx/dnsx/naabu to identify live hosts, open ports, status codes, titles, and basic fingerprints. Use after subdomain-enum produces a sub list. Output feeds into fingerprinting and content discovery.
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.
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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。
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'.
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Extract tabular schedule data from construction drawings — door, window, finish, fixture, panel schedules — and output to Excel. Triggers: 'door schedule', 'extract schedule', 'schedule to Excel', 'panel schedule'.
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Phase 2 of 5 — collaborative system design plus change-footprint mapping; outputs an ARCH doc for generate-tasks. Use only when the user asks to run Phase 2, plan the architecture, or design the solution — never trigger automatically from a design question.
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Phase 1 of 5 — Socratic interview capturing WHAT and WHY; outputs a sprint-sized REQ doc for plan-architecture. Use only when the user asks to run Phase 1, plan requirements, or start the requirements interview — never trigger automatically from a feature description.
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 verification commands and confirm output before claiming success
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。
Rewrite text so it reads like a real person wrote it, not an AI. Auto-detects Russian vs English and applies the matching rule set. Use when the user asks to humanize text, remove the "AI smell", de-AI, or make AI output sound natural - especially for Russian. Russian requests count too - очеловечь, перепиши как человек, оживи текст, убери запах ИИ, сделай живее, звучит как робот, убери канцелярит. Also use when asked whether a text was written by AI - нейросеть писала?, похоже на ChatGPT?, видно ли, что это ИИ, человек или бот писал, did AI write this? - then check and report findings without rewriting. While installed, also keep your own Russian and English writing free of the quick-list stock phrases, silently; never edit the user's text unless asked.
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。
Parse all `# implements:` annotations in source code and emit `library/_code-index.md` as a shelf-index. Also extracts cross-module import edges and writes `library/_dependency-edges.md`. Idempotent — re-running produces byte-identical output if no annotations or imports changed.
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。
Textum PRD→Scaffold→Story workflow for Codex with low-noise outputs and gate checks.
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。
Used when the user asks to "create a PowerPoint", "generate PPTX slides", "make a PowerPoint presentation", "build a .pptx deck", "create editable slides", "PptxGenJS", "editable presentation", "corporate deck", "slide deck for sharing", or when the output format is PPTX for any presentation task. Also triggers on "export to PowerPoint", "pitch deck PPTX", "offline presentation", or when the context implies an editable/corporate format. Generates OOXML-compliant .pptx files with PptxGenJS, precise layout, text measurement, and overlap validation.
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。
Used when the user asks to "create HTML slides", "generate an HTML presentation", "make animated slides", "build interactive slides", "create web slides", "GSAP presentation", "browser-based slides", "convert PPTX to HTML", "animated deck", "reveal.js slides", or when the output format is HTML for any presentation task. Also triggers on "single-file presentation", "CSS animations in slides", "scroll-based slides", or "web presentation". Generates self-contained, single-file HTML with viewport fitting, CSS/GSAP animations, and curated style presets.
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Interact with 80+ websites and desktop apps from the CLI via Chrome session reuse — zero LLM cost, deterministic JSON/YAML/CSV output. Covers Twitter/X, Reddit, YouTube, HN, Instagram, Spotify, Amazon, LinkedIn, and more; also automates browser actions and registers local CLI tools. Triggers on 'opencli', 'CLI for website', 'scrape without API', 'browser automation', 'operate command'.
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Systematically gather comprehensive travel itinerary requirements through structured discovery questions, MCP-powered research (Perplexity, Exa), and expert detail gathering. Use when users request travel planning, itinerary creation, or trip assistance requiring deep research and personalized requirements gathering. Outputs detailed requirements specification with day-by-day itineraries.
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Search the web with Exa AI — neural search, content extraction, similar page discovery, quick research with citations, and async pro research with structured output. Covers all Exa endpoints (/search, /contents, /findSimilar, /answer, /research/v0/tasks). Triggers on web search, find pages, similar pages, research with citations, Exa, neural search.
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。