「recommend」の検索結果

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

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。

Checks evidence about an unfamiliar autonomous agent before delegation, verifies signed Agent Guild passports, and returns a bounded hire, caution, or avoid recommendation without taking consequential 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。

Bridges asset requirements from motion design specs to production-ready assets. Parses specs for required assets, recommends free/paid sources, provides format conversion guidance, generates validated import code, and offers asset preparation checklists. Use when preparing assets for Remotion projects or when asked "where to get assets", "how to prepare assets", "asset formats for Remotion".

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。

Analyzes Remotion compositions for performance issues and provides optimization recommendations. Identifies expensive computations, unnecessary re-renders, large assets, memoization opportunities, and architecture improvements. Use when optimizing render times or when asked to "improve performance", "speed up renders", "optimize Remotion video".

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。

Excellence-first strategic decision support. This skill should be used when users need to choose between options, pressure-test a plan, evaluate risk, or make a specific decision — across security, product, growth, operations, org design, and finance. Use when there is a decision with tradeoffs to score and a recommendation to make. For pure research ("what does the best in the world do about X?"), use best-in-world-research instead.

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 the user faces a real decision with stakes and wants it framed cleanly — options, ranked criteria, a recommendation, the falsifier, and reversibility — then logged to decisions/log.md. Trigger on "/decide", "help me decide", "should I X or Y", "frame this decision", "what's the call here", "log this decision".

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。

One command from "plugin installed" to "running brief on your idea." Combines /mycelium:setup (project-state initialization) and /mycelium:interview (10-minute discovery brief) into a single flow. Run this immediately after installing the Mycelium plugin — it's the recommended entry point for first-time users.

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 `.claude/diamonds/active.yml` as the decisions each diamond has recorded, in order, grouped by mode (discovery, delivery). Read-only. Default format Mermaid stateDiagram-v2, drawn by a script. Recommended at the end of `/mycelium:diamond-assess` so every assessment closes with a visual state-of-play. See `${CLAUDE_PLUGIN_ROOT}/engine/render-conventions.md` for shared render fleet 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。

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。

Generate a weekly Threads (Meta) content plan from a theme, audience, and content pillars. Produces per-day recommendations (single post vs thread, Threads hook formula, angle, posting time, primary goal), a single-to-thread mix, daily reply and quote-post targets, and a goal-mix balance check across replies, reposts, likes, and quotes. Use when the user wants to plan a week of Threads content instead of ad-hoc posting. Not for drafting one post or thread (use threads-post-writer).

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。

Produce a structured codebase analysis report with architecture overview, critical files, patterns, and actionable recommendations.

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 test coverage and identify gaps with actionable recommendations

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。

Produce a structured codebase analysis report with architecture overview, critical files, patterns, and actionable recommendations. Use when asked to "analyze codebase", "explore codebase", "understand this codebase", "map the codebase", "give me an overview of this project", "what does this codebase do", "codebase report", "project analysis", "audit this codebase", or "how is this project structured".

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。

Create a new specification through an adaptive interview process with proactive recommendations and optional research. Use when user says "create spec", "new spec", "generate spec", or wants to start a specification document.

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 LP portfolio rebalancing pressure from denominator effects with over-allocation analysis and pace adjustment recommendations. Use when analyzing denominator effects, assessing LP allocation constraints, or modeling portfolio rebalancing.

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。

Structures credit committee packages with borrower analysis, risk assessment, structuring proposal, and recommendation documentation. Use when preparing credit committee materials, presenting loan opportunities, or documenting credit decisions.

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 proxy fight mechanics with shareholder base analysis, ISS/Glass Lewis recommendations, and vote probability modeling. Use when analyzing proxy contests, assessing vote outcomes, or evaluating director nomination campaigns.

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 completed agent pipelines across 5 scoring dimensions and produces a composite verdict with actionable recommendations

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。

N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.

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。

Prevent AI hallucination and ensure evidence-based responses when analyzing code or making suggestions. Use when: analyzing code, making recommendations, providing options, or when user asks about confidence/certainty. Keywords: certainty, assumption, inference, evidence, source, 確定性, 推測, 假設, 來源, 證據.

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。

Enforce Biome formatting and lint discipline in this repository. Use when making any file edits, when asked to run format/lint, and immediately before any commit. Always execute `bun run lint` (from package.json), apply resulting fixes, and re-run until clean. Treat `bun run lint:links` as optional by default, and recommend it when files under `content/` are 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。

Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical (restaurant, healthcare, legal, home services, real estate, automotive). Use when user says "local SEO", "Google Business Profile", "GBP", "map pack", "local pack", "citations", "NAP consistency", "local rankings", "service area", "multi-location", or "local 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。