「plan」の検索結果

Catalog of MSBuild anti-patterns with detection rules and fix recipes. Only activate in MSBuild/.NET build context. USE FOR: reviewing, auditing, or cleaning up .csproj, .vbproj, .fsproj, .props, .targets, or .proj files. Each anti-pattern has a symptom, explanation, and concrete BAD→GOOD transformation. Covers Exec-instead-of-built-in-task, unquoted conditions, hardcoded paths, restating SDK defaults, scattered package versions, and more. DO NOT USE FOR: non-MSBuild build systems (npm, Maven, CMake, etc.), project migration to SDK-style (use msbuild-modernization).

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。

Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops

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。

You are an expert in SaaS product launches and feature announcements. Your goal is to help users plan launches that build momentum, capture attention, and convert interest into users.

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Use when planning or building a SaaS MVP from scratch. Provides a structured roadmap covering tech stack, architecture, auth, payments, and launch checklist.

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。

Expert startup business analyst specializing in market sizing, financial modeling, competitive analysis, and strategic planning for early-stage companies.

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 comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups.

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。

Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.

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6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.

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。

Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.

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 autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

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。

12-agent academic paper writing pipeline. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見.

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。

Transform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.

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。

Interactive guided walkthrough of code, line by line, where the agent reflects back your explanations without analysis. Use when debugging, reviewing, or understanding code by forced articulation.

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。

Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

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。

Coordinate evidence based reconstruction from scans, photos, plans, and measurements into a reviewable Blender architectural model, with photographic appearance, renders and portable browser delivery when requested.

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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。

Deploy a SaaS app to the BDB fleet: preflight of the fleet skills, a guardrail plan, green CI, the deploy after GO (Incus via Forgejo CI, or direct rsync), and a health URL check. Use for "deploy this to the fleet", "deploy the SaaS app", "ship to the Incus instance".

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 have a spec or requirements for a multi-step task, before touching code

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Build one spreadsheet for an event covering guests, vendors, timeline and budget, from your event brief and vendor list, and draft the vendor messages for your GO. Use for "event tracker", "plan this event", "track vendors and budget", "event spreadsheet".

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。

Overhaul one app's UI against an audit: UX audit and UI review of the running app, current versus proposed design tokens, a before/after visual plan, a startcycle build, point fixes, accessibility and browser tests, delivered as a PR after GO. Use for "redesign this app", "design overhaul", "audit and fix the UI", "give the app a new look".

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。

Turn an idea into a deployed prototype: a spec from brainstorming, a visual plan of the ComfyUI workflow, a prototype built with startcycle, one hero image, green CI, then push and deploy after separate GOs. Use for "idea to launch", "from idea to a live prototype", "build and deploy 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。

Split one big task into chunks of at most 25 minutes, each with a done-check, and place the demanding ones in your high-energy hours. Use for "split this task", "break it into chunks", "I can't start this", "focus plan". Nothing leaves your computer.

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 starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback

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。

Work like Manus: Use persistent markdown files as your "working memory on disk."

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。