759 件 ・ 関連度順
概要と使いどころ
Classifies raw pilot request → structured JSON {task_type, class, artifact, budget_estimate, confidence, routing_tag, resolution_path, schema_version, result_type, expected_result_kind, result_kind_resolution, hypothesis_relation}. Keyword-fast (<200ms) or Haiku fallback (<60s). Does NOT create WP or call executor.
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。
Advanced multi-agent reasoning system for complex questions requiring maximum accuracy. Uses adaptive technique selection, adversarial validation, multi-agent debate, and deep analysis. Trigger phrases "ai board", "expert panel", "deep analysis", "maximum accuracy", "thorough reasoning". Use for critical medical decisions, theological questions, philosophical analysis, complex technical problems, high-stakes decisions, or any question requiring 95%+ confidence.
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。
Build functional software prototypes and MVPs without deep technical skills by using AI agents as "developers in your pocket." Use this skill when you need to validate a new product concept, build custom back-office tools (e.g., a real estate data manager), or create high-fidelity demos to unblock engineering roadmaps.
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。
AI agent self-correction mechanisms: error detection, validation loops, recovery strategies, confidence scoring, and iterative refinement
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 prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.
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。
Analyze issues to identify the next work item and update focus.md. Enforces issue-first workflow and confidence-based batch limits.
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。
Builds, revises, restyles, and critiques deliberate, editable Feishu / Lark whiteboards from content, references, existing SVGs, or live boards. Use for whiteboards, infographics, diagrams, system maps, timelines, decision boards, posters, and visual explainers that need factual fidelity, strong hierarchy, intentional composition, and evidence-based review rather than a generic grid of equal cards. Routes creation, revision, and critique through separate playbooks; commits to a content-and-design contract before drawing; validates deterministic SVG defects; renders and inspects the actual artifact; and uses an independent final reviewer for material deliveries.
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 proofreading, copy-editing, or verifying English in any docs/**/*.mdx chapter or code comment in this repo. Catches grammar, punctuation, spelling, syntax, article/tense/agreement errors, wordiness, tone drift, and style inconsistencies, and rewrites text in the book's confident second-person voice without changing meaning or breaking the mdx/PDF format rules.
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。
Survey one surface of tdmcp (artist controls, library/packaging, CLI/DX, AI/LLM, or TouchDesigner depth) for candidate NEW features — inventory what exists, cross-check the roadmap, apply the gap-finding lenses, vet each idea, and emit a structured, novelty- and confidence-labelled candidate list to _workspace/discovery/. Use when a td-surveyor agent is scouting a surface during the feature-discovery harness.
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。
Consolidate the five tdmcp surveyor reports into one prioritized FEATURE_BACKLOG.md — dedupe cross-surface overlaps, reconcile every candidate against the roadmap (NEW vs planned vs extension), rank by a selectable impact×effort weighting profile into P0/P1/P2 (high-confidence first), and emit per-surface tables + a recommended-next shortlist that hands straight to the build pipeline. Use when a td-synthesizer agent is consolidating surveys during the feature-discovery harness.
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 entry point for Stitch design work. Handles prompt enhancement (UI/UX keywords, atmosphere), design system synthesis (.stitch/DESIGN.md), and high-fidelity screen generation/editing via Stitch MCP.
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。
Explainability (XAI) audit for products containing AI components. Five-stage tier-scaled check: risk classification, stakeholder×question matrix, fidelity audit, system card, recourse path. Honest about what was validated functionally vs what needs user testing.
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Audit whether the theories/methodologies a project claims to implement are faithfully operationalized — or name-dropped, partially built, distorted, or over-claimed. Source-grounds the load-bearing theories; tags the rest provisional. Run periodically alongside /framework-health.
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 to prioritize solutions or opportunities using ICE scoring with evidence-backed confidence.
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 Mycelium's own process effectiveness. Measures cycle velocity, discard trends, confidence calibration, gate effectiveness, regression rate. Run quarterly or every 20 cycles.
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Use to evaluate the current state of a diamond. Checks theory gates, confidence levels, and recommends next action.
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。
Central dispatcher for the canvas/state render fleet. Routes intent to a specialist (`/mycelium:diamond-render`, `/mycelium:ost-render`, `/mycelium:cycle-render`) OR lists what's renderable. Cross-cutting views spanning multiple canvases (opp→sol→cycle traceability, confidence-over-time, cluster-graduation-flow) are research-gated and NOT emitted by default. See `${CLAUDE_PLUGIN_ROOT}/engine/render-conventions.md` for shared conventions.
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。
Systematically challenge current assumptions before major decisions. Counters confirmation bias, groupthink, and overconfidence.
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。
Test a half-formed idea in a questioning conversation, with different personas probing its weak points, until the user can act on it or drop it with confidence. Optionally writes a short brief for planning skills to build on. Use when the user says 'forge an idea', 'pressure-test this idea', 'stress-test my thinking', or 'harden this idea'
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。
Generates a high-fidelity UI screen or wireframe from a text prompt using Stitch. This is the core text-to-UI generation tool — the heart of the Stitch workflow.
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。
Reviews code implementations for correctness, security, maintainability with confidence-scored findings (converted from agent)
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。
Creates sell-side CIMs with business description, financial overview, growth drivers, and investment highlights. Use when preparing sell-side marketing materials, writing CIMs, or positioning companies for sale.
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。
Evaluates insider purchase patterns with cluster buying identification, historical signal analysis, and conviction scoring. Use when analyzing insider buying, assessing management confidence signals, or tracking insider activity patterns.
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。
Independent LLM judge evaluates task completion separately from the executing agent, catching false success claims by reviewing task goal, actions taken, final state, and evidence. Produces PASS/FAIL with confidence score and reasoning.
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。