416 件 ・ 関連度順
概要と使いどころ
复杂探索资产化 / Complex Exploration：当用户面对复杂、不确定、多轮迭代的产品策略、Roadmap、商业化定价、竞品定位、复杂 PRD 前置探索、项目复盘或方法论沉淀任务时使用。它先判断任务类型，暴露隐含假设，重构真正问题，规划探索路径和中间产物，并在结束后沉淀认知、结构、方法论、工具和影响力资产。不用于简单润色、翻译、摘要、明确执行任务；问题只需早期认知校准时优先用 ai-collaboration-calibration，已有方案要压力测试时用 grill-me，系统专题研究用 research-topic-compiler。
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。
Product Research / 产品研究编译器：当用户要围绕一个产品问题做系统调研、竞品证据、替代方案、行业信号、 用户与市场研究、最佳实践提炼、产品候选池、本地 HTML 研究看板、可视化研究报告或跨职能 Dashboard 时使用。 当用户只有大白话、模糊方向、业务愿望或 Roadmap/PRD 前置材料想法，需要先转成清晰研究目标、研究问题和输出要求时也使用。 适合把研究转成 Research Project、学习报告、证据矩阵、PM 决策看板、候选池、模板、实践任务、业务判断、商业化输入或高门槛应用研究前置。适合“系统研究一个主题” “整理到 Obsidian”“做深度专题”“研究行业最佳实践”“概念解读”“概念源流”“PM 技术评审提问脚本” “行业演进看板”“这个主题对我的产品决策有什么用”“让我系统学会并输出 learning report HTML”。不适合创建 Skill、评审 SKILL.md、普通即时搜索或一次性摘要。 当用户已经要在明确候选项中选一个、需要最终推荐和排除理由时，应使用 decision-research。 当 decision-research 或 grill-me 返回一个可研究、可关闭的精确证据 gap 时，也使用本 Skill 只补 Evidence Delta。
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。
Produces structured U.S. legal audit summaries that distill compliance findings into executive-ready risk prioritization and remediation plans, covering likelihood/impact scoring, consequence analysis, and corrective actions with timelines and owners. Use for legal audits, compliance audits, regulatory audits, compliance gap analyses, risk assessments, audit report summaries, or remediation roadmaps. Trigger keywords: audit summary, compliance findings, audit report, risk prioritization, remediation plan, regulatory exposure, corrective action plan.
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。
Estimates SNP heritability and partitions it across functional annotations, cell types, and loci from GWAS summary statistics or individual-level genotypes. Implements LDSC, stratified LDSC with the baseline-LD model, Finucane 2018 cell-type prioritization, LDAK SumHer, HDL, HESS local heritability, BOLT-REML, GCTA-GREML, graphREML, and Popcorn cross-population genetic correlation. Use when computing total h2_SNP from summary stats, partitioning heritability across functional categories, prioritizing trait-relevant tissues or cell types from ENCODE/Roadmap chromatin marks, reconciling LDSC vs LDAK enrichment estimates, computing local heritability with HESS, estimating genetic correlation between traits, or producing publication-grade enrichment with calibrated sensitivity to model assumptions.
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。
Read-only release + backlog recap. Reports the last release, commits-since-tag classified by conventional-commit type with the semver bump they trigger and pushed-vs-origin state, the backlog bucketed (open/picked-up/dropped with epic parent→child nesting), the roadmap epics with their per-task tallies, and condensed open questions — then recommends the next pickup. One `cli.mjs recap` call returns all six recap keys. Invoke any time (on demand) to plan a release or choose the next thing to build; a compact form is also surfaced at session start. Not a workflow phase; never writes CHANGELOG; never starts or commits work.
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。
A workflow skill that lets Codex keep coding for 60 hours on medium and large projects: Claude Code CLI plans through an interactive requirements questionnaire, PRD, specs, and roadmap; Codex implements verified vertical slices, with resumable Long-Run Execution for lengthy work; Trellis maintains project memory. Use when the user mentions 大项目工作流, Codex 连续开发 60 小时, Codex 长任务, long-running or resumable Codex implementation, large/medium project, new SaaS, multi-module system, requirements questionnaire, Claude Code CLI planning, Codex implementation handoff, Trellis bootstrap, non-system-drive project, or vertical slice. Skip for: single-file edits, casual Q&A, copy polish, throwaway prototypes, or tasks the user explicitly wants done fast without process.
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。
Auri: assistente de voz inteligente (Alexa + Claude claude-opus-4-20250805). Visao do produto, persona Vitoria Neural, stack AWS, modelo Free/Pro/Business/Enterprise, roadmap 4 fases, GTM, north star WAC e analise competitiva.
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。
Decides how far ahead to plan, what to discount future payoffs by, and which backlog items can be dropped without analysis - using receding-horizon planning, an explicit discount factor, and branch-and-bound pruning against the incumbent. Use when building a roadmap, prioritising a backlog, arguing about short-term versus long-term, setting quarterly or annual plans, or when planning has become an end in itself.
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。
Turns a vague "what should we do about X" into a scored decision - explicit actions, an explicit unknown, an explicit prior, and one utility scale - then picks by maximum expected utility and checks the result for framing effects. Use when facing a choice between options under uncertainty, when a decision has stalled in circular debate, when someone asks "should we do A or B", or before writing any decision record, strategy memo, or roadmap commitment.
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。
Mark a rolling-wave slice done on explicit user authority, regardless of its current lifecycle status or missing implementation, finalization, review, verification, or child-project state. Use when the user says a slice is done, complete, finished, accepted, or should be marked done; capture available material learnings, update project state, and output roadmap progress without requiring earlier workflow steps.
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。
Shape or update a rolling-wave engineering project before slice preparation. Use when the user wants to start a rolling-wave project, define the finish line, clarify success criteria, create or update docs/rolling-wave/{project}/project.md, sketch a broad roadmap, or interrogate project-level direction without implementation details.
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 for strategic thinking, or when the user must choose a direction under constraints: "where should we focus?", "how do we win?", "roadmap for next year", "what should we not do?". Ends in explicit bets and risks. Skip for step-by-step implementation.
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。
Guides continuous improvement and change management for SMEs adopting AI. Applies Marginal Gains philosophy, Kaizen principles, and structured sprint methodologies to organizational transformation. Use when user asks about change management, continuous improvement, AI adoption strategy, team resistance, transformation roadmaps, or improvement sprints.
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。
Pursue an agreed goal to a working outcome without waiting: decompose it, re-prioritise as evidence arrives, branch, gate, get an independent review (a different model or a fresh reviewer subagent — the writer never approves), merge, prune, and bank the operator's decisions in STATUS.md instead of blocking on them. Trigger on "get it done", "don't wait for me", "proceed autonomously", or when an epic or roadmap objective is handed over. Not a close-out: this work set is expected to grow.
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。
Decompose an epic into atomic parallelizable tasks, route each to the right skill, and keep the four delivery records straight — issues, STATUS, ROADMAP, CHANGELOG. Use as a meta-router when several skills could apply, and as the baseline for how delivery state is recorded. Trigger at the start of any multi-track epic, when the skill count exceeds ~12, or when the records have drifted from reality.
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 ranking competing initiatives for a roadmap, breaking a tie between two features, or auditing a backlog for hidden low-value work via Reach × Impact × Confidence ÷ Effort.
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。
When scoring a roadmap, PR review, ADR, or ticket for completeness — risk, tests, migration, maintainability. Dispatched by /refine-ticket, /adr-create, /review-changes; never auto-gates.
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 says "plan a feature", "brainstorm", "explore this idea", or wants to go from idea to structured plan and roadmap.
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 reading, creating, or updating agent documentation, module docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure.
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 polling external AIs (OpenAI, Anthropic) outside the host session for a neutral second opinion on a roadmap, diff, prompt, or file set — or 'cross-check with another model'.
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。
Critically analyze whether a product, repo, skill, plugin, harness, or architecture vision still fits the real application, user intent, implementation, evidence, and likely future direction. Use when asked to assess vision vs application, predict future fit, critique roadmap direction, analyze strategic intent, or decide whether to keep, refine, pivot, or kill a plan.
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。
Aggregate findings and generate multi-format pentest reports with remediation roadmap and risk scoring.
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 professional PDF report from a GEO audit using pandoc plus a Chrome/Chromium-compatible headless browser. Converts GEO-AUDIT-REPORT.md into a styled, client-ready PDF with a cover page, color-coded score tables, severity-tagged findings, and a 90-day roadmap.
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 an interactive, drag-and-drop user story map so the user can re-slice work across release phases. Use when the user wants a story map, a phased roadmap, release slicing, a backbone/activities journey map, or to decide "which stories go in which phase" and move them around.
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。