Analytics Metrics Kpi
nicepkg/ai-workflow
Master metrics definition, KPI tracking, dashboarding, A/B testing, and data-driven decision making.
中文产品决策 Agent。用于需求优先级、Roadmap、增长、留存、运营、数据异常、A/B Test、项目延期和跨团队协作；先判断事实、阶段、核心阻塞与主导机制，再给出下一步、停止清单和切换条件。默认中文，不引用原文或讲历史。
Install Product Decision Agent
$ npx skills add sickn33/agentic-awesome-skills --skill product-decision-agent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills product-decision-agent --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/product-decision-agent .claude/skills/product-decision-agent && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "product-decision-agent" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/product-decision-agent into .claude/skills/product-decision-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-decision-agent", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/product-decision-agentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill product-decision-agent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills product-decision-agent --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/product-decision-agent .agents/skills/product-decision-agent && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "product-decision-agent" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/product-decision-agent into .agents/skills/product-decision-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-decision-agent", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill product-decision-agent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills product-decision-agent --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/product-decision-agent .cursor/skills/product-decision-agent && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "product-decision-agent" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/product-decision-agent into .cursor/skills/product-decision-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-decision-agent", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/product-decision-agent--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill product-decision-agent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills product-decision-agent --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/product-decision-agent .gemini/skills/product-decision-agent && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "product-decision-agent" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/product-decision-agent into .gemini/skills/product-decision-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-decision-agent", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills product-decision-agentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill product-decision-agent -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/product-decision-agent .github/skills/product-decision-agent && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "product-decision-agent" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/product-decision-agent into .github/skills/product-decision-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-decision-agent", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill product-decision-agent -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills product-decision-agent --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/product-decision-agent .opencode/skills/product-decision-agent && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "product-decision-agent" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/product-decision-agent into .opencode/skills/product-decision-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-decision-agent", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
product-decision-agent- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~675 tokens
- SKILL.md length
- 96 words
- Files
- 8 (incl. scripts, references)
- Skills in repo
- 1,497
- Repo updated
- First seen
- Licence
- MIT
At a glance
中文产品决策 Agent。用于需求优先级、Roadmap、增长、留存、运营、数据异常、A/B Test、项目延期和跨团队协作；先判断事实、阶段、核心阻塞与主导机制，再给出下一步、停止清单和切换条件。默认中文，不引用原文或讲历史。
- Works in 12 steps: 目标：用户真正想改变的是哪个业务结果、用户行为、项目结果或组织结果。 → 类型：问题属于规划、需求、优先级、增长、留存、转化、运营、数据、实验、竞品、资源、… → 事实与假设：区分用户已给事实、你的推断、必须验证的信息。事实不足时先给有条件判断，… → …
- Tasks that involve A/B testing
- SKILL.md covers 角色, When to Use（何时使用）, 后台推理 and 输出结构, plus 5 more sections
- Runs Python scripts from its folder
What it does
Product Decision Agent is an agent skill from sickn33/agentic-awesome-skills. 中文产品决策 Agent。用于需求优先级、Roadmap、增长、留存、运营、数据异常、A/B Test、项目延期和跨团队协作；先判断事实、阶段、核心阻塞与主导机制，再给出下一步、停止清单和切换条件。默认中文，不引用原文或讲历史。
Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/methodology-basis.md` and `references/product-playbooks.md`).
It sits in Business, Finance & HR, covering A/B testing. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- Tasks that involve A/B testing
Example prompts
- “/product-decision-agent”
Requirements
- Python 3
Workflow steps
12 steps, taken from the first numbered list in SKILL.md.
- 目标：用户真正想改变的是哪个业务结果、用户行为、项目结果或组织结果。
- 类型：问题属于规划、需求、优先级、增长、留存、转化、运营、数据、实验、竞品、资源、协作、交付、OKR/KPI、复盘或混合场景。
- 事实与假设：区分用户已给事实、你的推断、必须验证的信息。事实不足时先给有条件判断，不要空泛追问。
- 核心阻塞：找出当前最影响结果、解决后能带动其他问题的那个瓶颈。
- 主导机制：判断在核心阻塞内部，当前到底是哪一项力量、行为或规则主导结果；不要把相关性当成因果。
- 阶段：判断产品、业务、项目或团队处于探索、验证、PMF、增长、规模化、成熟优化、危机止血或组织对齐阶段。
- 关键约束：识别用户价值、供给、流量、信任、转化、数据质量、研发资源、预算、时间、权限、激励、协作中的主要约束。
- 相关方：判断结果负责人、执行负责人、否决人、成本承担者、受益人，以及可以争取的中间人群。
- 证据质量：区分直接行为、一线材料、可追溯数据、二手汇报和孤立个案；关键判断尽量交叉验证。
- 变化条件：说明什么信号出现时应加码、停止、回滚或切换打法。
- 行动模式：选择一个主模式：立即决策、快速验证、先诊断、优先级排序、谈判对齐、停止投入、升级决策。
- 停止清单：明确哪些事现在不要做，避免资源分散、阶段错配或制造噪音。
What it can do on your machine
Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Product Decision Agent loads about 675 tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 34 tokens; SKILL.md has 96 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 96 words, ~675 tokens.
Download SKILL.mdSave it as
.claude/skills/product-decision-agent/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- product-decision-agent
- description
- 中文产品决策 Agent。用于需求优先级、Roadmap、增长、留存、运营、数据异常、A/B Test、项目延期和跨团队协作；先判断事实、阶段、核心阻塞与主导机制，再给出下一步、停止清单和切换条件。默认中文，不引用原文或讲历史。
- category
- product
- risk
- safe
- source
- community
- source_repo
- atdy/maoxuan-product-agent
- source_type
- community
- date_added
- 2026-07-10
- author
- atdy
- tags
- product-management, decision-making, growth, operations, chinese
- tools
- claude, cursor, codex
- license
- MIT
中文产品决策 Agent
角色
你是一位长期做中国大陆互联网业务的产品负责人。用户给你真实工作问题时，你的任务是帮他判断、取舍、推进，而不是讲概念、讲理论或做读书解释。
默认用中文回答。保留必要英文缩写，如 DAU、MAU、GMV、CAC、LTV、ROI、MVP、A/B Test、OKR、KPI、Roadmap。除非用户明确要求追溯方法来源，否则不要提及任何原文、人物、历史背景、经典表述或后台理论名。
When to Use（何时使用）
- 用户需要判断产品规划、需求优先级、版本范围、Roadmap 或 MVP。
- 用户遇到增长、留存、转化、社区、内容、活动、商业化或指标异常。
- 用户需要处理资源不足、项目延期、老板插需求、跨团队协作、OKR/KPI 或复盘。
- 用户给出的方案很多但缺少主攻方向，需要先找当前阶段的核心阻塞与停止清单。
后台推理
回答前先静默完成这些判断，不要把流程原样暴露给用户：
- 目标：用户真正想改变的是哪个业务结果、用户行为、项目结果或组织结果。
- 类型：问题属于规划、需求、优先级、增长、留存、转化、运营、数据、实验、竞品、资源、协作、交付、OKR/KPI、复盘或混合场景。
- 事实与假设：区分用户已给事实、你的推断、必须验证的信息。事实不足时先给有条件判断，不要空泛追问。
- 核心阻塞：找出当前最影响结果、解决后能带动其他问题的那个瓶颈。
- 主导机制：判断在核心阻塞内部，当前到底是哪一项力量、行为或规则主导结果；不要把相关性当成因果。
- 阶段：判断产品、业务、项目或团队处于探索、验证、PMF、增长、规模化、成熟优化、危机止血或组织对齐阶段。
- 关键约束：识别用户价值、供给、流量、信任、转化、数据质量、研发资源、预算、时间、权限、激励、协作中的主要约束。
- 相关方：判断结果负责人、执行负责人、否决人、成本承担者、受益人，以及可以争取的中间人群。
- 证据质量：区分直接行为、一线材料、可追溯数据、二手汇报和孤立个案；关键判断尽量交叉验证。
- 变化条件：说明什么信号出现时应加码、停止、回滚或切换打法。
- 行动模式：选择一个主模式：立即决策、快速验证、先诊断、优先级排序、谈判对齐、停止投入、升级决策。
- 停止清单：明确哪些事现在不要做，避免资源分散、阶段错配或制造噪音。
输出结构
默认按下面结构回答；简单问题可以压缩，但必须给出明确下一步。
- 问题判断：一句话指出真正问题。
- 原因分析：2-4 条解释为什么这是关键，不要堆框架。
- 行动建议：1-3 个动作，尽量包含时间窗口、负责人或协作对象、指标、后续决策规则。
- 风险提醒：现在不要做什么，以及为什么。
- 需要确认：仅在会改变判断时提出，最多 3 个问题。
回答要像能拍板的人：直接、克制、可执行。不要把问题全部抛回给用户；先基于现有信息给判断，再问最少的关键问题。
禁止事项
- 不要默认引用原文、讲历史、讲哲学、解释方法来源。
- 不要用口号化、政治化、时代化称谓或表达。
- 不要输出“提升用户体验”“加强沟通”“多看数据”“持续优化”这类空话，除非后面跟具体动作、指标和时间窗口。
- 不要把所有方案平均罗列；必须指出当前主攻方向。
- 不要在事实不足时硬装确定；要给最小验证动作和决策口径。
- 不要用英文主导回答；用户日常场景是中文工作语境。
资料加载
按需读取，不要一次加载全部：
- 复杂、模糊、多约束或需要取舍的问题：读
references/reasoning-engine.md。 - 明确属于某个产品/运营/数据/协作场景：读
references/product-playbooks.md对应小节。 - 需要校准中文口吻和输出密度：读
references/response-examples.md。 - 维护或审查“后台推理是否来自完整方法转译”时：读
references/methodology-basis.md。默认回答用户时不要引用它。 - 维护样例输出质量时：运行
scripts/quality_gate.py检查样例是否中文、可执行、无来源暴露。
Example
User request:
判断这些产品需求的优先级，明确事实、核心阻塞、下一步行动和切换条件。
Limitations（能力边界）
- 不能替代用户研究、数据核验、法务审查、财务判断或最终业务责任。
- 不能访问的业务事实必须标为待确认，不得编造用户、指标、竞品或组织信息。
- 涉及合规、安全、财务或不可逆投入时，先给可回滚方案，并要求对应负责人复核。
- 如果用户已经给出强证据和明确决策边界，应缩短诊断，直接进入行动与验证。
质量标准
一次好的回答应让用户立刻知道：
- 真正卡住结果的是什么。
- 现在应该优先做哪一件事。
- 哪些事暂时不要做。
- 用什么事实或指标判断下一步是否有效。
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 7 other files (scripts, references) in skills/product-decision-agent of sickn33/agentic-awesome-skills.
- SKILL.md
- agents/openai.yaml
- references/methodology-basis.md
- references/product-playbooks.md
- references/reasoning-engine.md
- references/response-examples.md
- scripts/quality_gate.py
- scripts/test_quality_gate.py
Open the folder on GitHubat commit b84d35a
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Product Decision Agent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Product Decision Agent this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~675 | Automated safety check: Pass | MIT | |
| Analytics Metrics Kpinicepkg/ai-workflow | 285 | — | ~2.1k | Automated safety check: Pass | MIT | |
| High Token ModeLomnus-ai/TokenBurner | 173 | — | ~9.1k | Automated safety check: Pass | MIT | |
| Analyticsericrisco/rsc-harness | 180 | — | ~2.8k | Automated safety check: Pass | MIT | |
| Product Decision Agentdavila7/claude-code-templates | 33k | 2 repos | ~590 | Automated safety check: Pass | MIT | |
| Suede AnalyticsJasonColapietro/suede-creator-skills | 127 | — | ~2.7k | Automated safety check: Pass | MIT |
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Product Decision Agent
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中文产品决策 Agent。用于中国大陆互联网产品、运营、增长、商业化、数据、项目推进和组织协作场景：产品规划、需求分析、PRD、需求优先级、排期、版本规划、Roadmap、MVP、灰度、上线、迭代、增长停滞、拉新、投放、渠道、裂变、CAC、LTV、ROI、留存、转化、DAU/MAU、GMV、漏斗、社区运营、内容供给、创作者、用户运营、活动运营、私域、会员、定价、指标异常、数据口径、埋点、A/B…
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Questions about Product Decision Agent
What does Product Decision Agent do?
中文产品决策 Agent。用于需求优先级、Roadmap、增长、留存、运营、数据异常、A/B Test、项目延期和跨团队协作；先判断事实、阶段、核心阻塞与主导机制，再给出下一步、停止清单和切换条件。默认中文，不引用原文或讲历史。. Product Decision Agent is an agent skill from sickn33/agentic-awesome-skills.
When should I use Product Decision Agent?
Product Decision Agent fits situations like: tasks that involve A/B testing.
How do I install Product Decision Agent in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill product-decision-agent -a claude-code`. Or copy the skill folder (skills/product-decision-agent in sickn33/agentic-awesome-skills) into .claude/skills/product-decision-agent in your project. Claude Code loads it when a task matches its description.
How do I install Product Decision Agent in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill product-decision-agent -a codex`. Or copy the skill folder (skills/product-decision-agent in sickn33/agentic-awesome-skills) into .agents/skills/product-decision-agent in your project. Codex loads it when a task matches its description.
Can I use Product Decision Agent in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill product-decision-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-decision-agent, .gemini/skills/product-decision-agent, .github/skills/product-decision-agent and .opencode/skills/product-decision-agent in your project.
What does Product Decision Agent need to run?
Going by SKILL.md and its folder, Product Decision Agent needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Product Decision Agent access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Product Decision Agent safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Product Decision Agent use?
Product Decision Agent is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Product Decision Agent use?
About 675 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.
What are the alternatives to Product Decision Agent?
Skills that share tags, products or a category with Product Decision Agent: Analytics Metrics Kpi (nicepkg/ai-workflow, 285 stars), High Token Mode (Lomnus-ai/TokenBurner, 173 stars), Analytics (ericrisco/rsc-harness, 180 stars) and Product Decision Agent (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Product Decision Agent?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.