Agent Skillsstella/stella › product-deep-think

product-deep-think

GitHub

评估重大产品创意,结合仓库证据、市场调研、切换成本及合规性进行深度分析。通过确立问题、现状剖析、边界测试和市场研究,判断功能可行性与战略方向,辅助决策而非直接编码。

.ai/local-skills/product-deep-think/SKILL.md stella/stella

触发场景

用户询问新功能的可行性或价值 需要评估产品创意与市场/技术约束的匹配度 在进行具体开发前进行战略级产品论证

安装

npx skills add stella/stella --skill product-deep-think -g -y
更多选项

非标准路径

npx skills add https://github.com/stella/stella/tree/main/.ai/local-skills/product-deep-think -g -y

不安装直接使用

npx skills use stella/stella@product-deep-think

指定 Agent (Claude Code)

npx skills add stella/stella --skill product-deep-think -a claude-code -g -y

安装 repo 全部 skill

npx skills add stella/stella --all -g -y

预览 repo 内 skill

npx skills add stella/stella --list

SKILL.md

Frontmatter
{
    "name": "product-deep-think",
    "description": "Deeply assess a consequential product idea using repository evidence, current market research, switching costs, international constraints, and maintainability before planning or coding."
}

Product Deep Think

Assess whether and how to build a consequential feature. This is a conversational research exercise: do not edit code or create files unless the user later asks for a plan or implementation.

Interaction Mode

Default to one coherent pass after confirming the problem statement. Do not stop after every analytical lens for ceremonial approval. Pause only when the user's answer would materially change who the product serves, the product boundary, or the recommended direction. If the user explicitly asks for an interactive workshop, work through the lenses one useful question at a time.

Lead with discoveries, not phase narration. Keep intermediate updates short and translate abstractions into concrete user behavior.

1. Establish the Problem

Separate the pain from the proposed feature:

  • who experiences it, in which workflow, and how often;
  • what they do today, including manual workarounds and tolerated failure;
  • what happens if Stella does nothing;
  • what outcome would demonstrate improvement.

Confirm this framing once when it is genuinely ambiguous. Do not make the user answer questions the repository or evidence can resolve.

2. Autopsy the Status Quo

Understand why the current process persists before redesigning it. Account for regulation, liability, professional norms, migration, training, political ownership, integration, and parallel safety systems. Apply the Schuster check: is the idea better after switching costs, or merely cleaner on a blank page?

3. Test Stella's Product Boundary

Evaluate the idea for:

  • 5–50 lawyer firms without dedicated workflow administrators;
  • a credible path to 2,000–5,000+ lawyers;
  • buyer, administrator, and daily-user incentives;
  • international jurisdictions, terminology, formats, RTL, and legal-system differences;
  • privileged data, auditability, trust, and graceful failure;
  • open standards, self-hosting, and provider replaceability.

Inspect the current repository and nearby plans so the recommendation extends existing product primitives instead of inventing a parallel system.

4. Research the Market and Structural Analogs

Because product and competitor capabilities change, verify current claims with web research and cite direct, authoritative sources. Separate documented facts from inference and unknowns.

Compare:

  • legal-sector table stakes, strengths, complaints, and switching paths;
  • adjacent categories that solve the same structural problem;
  • interaction models and mental models worth importing, rather than cosmetic feature copying;
  • genuine differentiation Stella can sustain rather than a temporary feature gap.

5. Rebuild, Then Reconcile

Describe the clean-slate ideal and its remarkable version. List inherited assumptions and distinguish real constraints from convention. Then bring back path dependence: identify which parts survive now, which require compatibility, and which should only shape the long-term architecture.

Offer at least three shapes when materially different options exist:

  • the smallest coherent version;
  • the stronger durable version;
  • what not to build yet.

Make the tradeoffs explicit and recommend one.

6. Apply the Maintenance Filter

Assess ongoing complexity, operator burden, tuning, failure behavior, likely follow-up demands, extensibility, and the ability to explain the feature in three sentences. Prefer a smaller model with truthful states over a flexible system whose edge cases require permanent manual discipline.

7. Verdict

Return Build, Reshape, Defer, or Kill, with:

  • the problem and affected user;
  • evidence from the repository and current market;
  • options considered and why the recommendation wins;
  • the smallest valuable scope and explicit non-goals;
  • three guardrails that must carry into planning;
  • failure/maintenance risks and success signals;
  • a one-sentence pitch to a skeptical managing partner.

Keep the synthesis compact enough to act on. Move to /plan only after the product boundary is coherent and the user asks for a durable plan artifact.

版本历史

  • dd81665 当前 2026-08-16 07:09

    移除ARGUMENTS参数和哲学章节,重构为更结构化的五步分析流程(建立问题、现状解剖、边界测试、市场研究、重构协调),并明确交互模式。

  • 85792bd 2026-07-24 16:12

同 Skill 集合

.agents/skills/click-around/SKILL.md
.agents/skills/conventions-ai/SKILL.md
.agents/skills/conventions-db/SKILL.md
.agents/skills/conventions-i18n/SKILL.md
.agents/skills/conventions-ingestion/SKILL.md
.agents/skills/conventions-perf/SKILL.md
.agents/skills/conventions-scale/SKILL.md
.agents/skills/conventions-security/SKILL.md
.agents/skills/conventions-use-effect/SKILL.md
.agents/skills/conventions-ux/SKILL.md
.agents/skills/dev/SKILL.md
.agents/skills/finish-pr/SKILL.md
.agents/skills/new-handler/SKILL.md
.agents/skills/open-pr/SKILL.md
.agents/skills/plan/SKILL.md
.agents/skills/product-deep-think/SKILL.md
.agents/skills/product-think/SKILL.md
.agents/skills/rabbit-round/SKILL.md
.agents/skills/regression-hunt/SKILL.md
.agents/skills/security-audit/SKILL.md
.agents/skills/update-deps/SKILL.md
.ai/local-skills/click-around/SKILL.md
.ai/local-skills/conventions-ai/SKILL.md
.ai/local-skills/conventions-db/SKILL.md
.ai/local-skills/conventions-i18n/SKILL.md
.ai/local-skills/conventions-ingestion/SKILL.md
.ai/local-skills/conventions-perf/SKILL.md
.ai/local-skills/conventions-scale/SKILL.md
.ai/local-skills/conventions-security/SKILL.md
.ai/local-skills/conventions-use-effect/SKILL.md
.ai/local-skills/conventions-ux/SKILL.md
.ai/local-skills/dev/SKILL.md
.ai/local-skills/new-handler/SKILL.md
.ai/local-skills/open-pr/SKILL.md
.ai/local-skills/plan/SKILL.md
.ai/local-skills/rabbit-round/SKILL.md
.ai/local-skills/security-audit/SKILL.md
.ai/local-skills/update-deps/SKILL.md
packages/cli/skills/stella-cli/SKILL.md
packages/skills/blueprints/answer-from-sources/SKILL.md
packages/skills/blueprints/blank/SKILL.md
packages/skills/blueprints/check-against-rules/SKILL.md
packages/skills/blueprints/intake-to-draft/SKILL.md
.agents/skills/conventions-testing/SKILL.md
.ai/local-skills/conventions-testing/SKILL.md

元信息

文件数
0
版本
f4b61c7
Hash
59fb7434
收录时间
2026-07-24 16:12

首页 - Wiki
Copyright © 2011-2026 iteam. Current version is 2.155.2. UTC+08:00, 2026-08-22 00:21
浙ICP备14020137号-1 $访客地图$