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Agent Skill · 研究检索

fpf-problem-solving(fpf 问题解决)

fpf-problem-solving 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

fpf-problem-solving 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 60,488。

总安装 367周安装 15GitHub Stars 15下载 118核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:fpf-problem-solving(fpf 问题解决)
来源仓库:https://github.com/codealive-ai/fpf-simple-skill
仓库路径:skills/fpf-problem-solving
安装命令:
npx skills add https://github.com/codealive-ai/fpf-simple-skill --skill fpf-problem-solving
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/codealive-ai/fpf-simple-skill --skill fpf-problem-solving

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

fpf-problem-solving 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据任务场景定位候选结果。可通过 npx skills add 命令从指定仓库安装并使用。安装前需确认权限范围、维护状态及是否触发联网或文件操作。

建议结合原始 README 核验具体用法和功能细节。

来源仓库内路径:skills/fpf-problem-solving

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/codealive-ai/fpf-simple-skill --skill fpf-prob…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

fpf-problem-solving 怎么安装?

在终端执行 npx skills add https://github.com/codealive-ai/fpf-simple-skill --skill fpf-problem-solvin…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

fpf-problem-solving 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

fpf-problem-solving 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

fpf-problem-solving 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

fpf-problem-solving 用的人多吗?

公开数据是累计安装 367 次,近一周安装 15 次,下载 118 次,GitHub 15 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

fpf-problem-solving 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
fpf-problem-solving

fpf 问题解决 · 本页

36715只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

First Principles Framework (FPF)

An "Operating System for Thought" — a transdisciplinary architecture for reasoning, written in human- and machine-readable pseudo-code. FPF turns raw intelligence (human or machine) into organisationally usable reasoning: explicit bounded contexts, auditable artefacts, multi-view descriptions, and disciplined hand-offs between specialised actors.

Use cases

Use FPF whenever you need to think more rigorously than the situation's default.

  • Decompose a messy, cross-domain problem into parts that can be reasoned about independently
  • Make a high-stakes decision with incomplete evidence — and know what evidence is still missing
  • Get a mixed team to reason together without vocabulary collisions or hidden assumptions
  • Audit whether a conclusion is well-founded or just plausible
  • Transfer an insight across domains without losing precision or introducing category errors
  • Structure a proposal that must survive scrutiny from multiple expert perspectives
  • Generate alternatives systematically instead of anchoring on the first idea
  • Define what "better" means before comparing options
  • Classify what kind of problem you're facing before searching for solutions
  • Plan how an AI agent should select and sequence its tools under budget and trust constraints

How to navigate

The use cases above help decide WHETHER to invoke FPF. The router below decides WHERE to go once invoked.

Step 1 — Match the thinking need to a starting point

What you need to doStart here
Decompose a complex whole into bounded parts04 Kernel → A.1 Holons, A.1.1 Bounded Contexts, A.14 Mereology
Assign roles and responsibilities04 Kernel → A.2 Roles, A.15 Role-Method-Work Alignment
Set boundaries on what statements mean05 Signature Stack → classify as definitions, gates, duties, or evidence
Prevent category errors (role vs. function, method vs. work)06 Constitutional Principles → A.7 Strict Distinction
Evaluate confidence in a claim or artifact07 Part B → B.3 Trust & Assurance; 08 Part C → C.2 F-G-R scoring
Compose parts into wholes preserving properties07 Part B → B.1 Gamma algebra; 08 Part C → C.13 Compose-CAL, C.20 Discipline-CAL
Reason through a problem systematically07 Part B → B.5 Reasoning Cycle, B.5.2 Abductive Loop
Generate alternatives / explore solution space08 Part C → C.18 NQD Open-Ended Search, C.19 Explore-Exploit
Measure and compare options rigorously06 A.V → A.17-A.19 Characteristics, CSLC & SelectorMechanism; 08 Part C → C.16 MM-CHR
Score knowledge quality (formality, scope, reliability)08 Part C → C.2 KD-CAL, C.2.2 Reliability, C.2.3 Formality
Resolve conflicts across stakeholders or values09 Part D → Ethics & Conflict
Unify vocabulary across teams or domains13 F.I Context of Meaning → 14-15 UTS tables → 20 Lexical Debt
Document for multiple audiences11 E-I Constitution → E.17 Multi-View Publication Kit
Sharpen expression — repair vague wording, surface ambiguity11 E-I → E.17.SD.SPR Surface Precision Restoration, E.17.SD.OOTD Object-of-Talk Discipline, E.17.EFP Explanation Faithfulness; 05 A.IV.A → A.6.H Wholeness Unpacking
Survey a discipline and build a reusable toolkit16 Part G → SoTA Packs, TraditionCards, OperatorCards; 08 Part C → C.21 Discipline-CHR (field health & maturity)
Classify a problem type before solving08 Part C → C.22 Problem-CHR, C.3 Kind-CAL (typed reasoning)
Define quality attributes ("-ilities") as structured bundles08 Part C → C.25 Q-Bundle; 06 A.V → A.17-A.19 Characteristics
Orchestrate agentic tool use under budgets and trust gates08 Part C → C.24 Agent-Tools-CAL
Trace provenance of a claim06 A.V → A.10 Evidence Graph; 16 Part G → G.6 Provenance Ledger

For complex problems, follow paths across multiple sections — the router shows where to start, not where to stop.

Step 2 — Read the _index.md, then the sub-section

  1. Open the _index.md of the target section folder — it lists all sub-sections with line counts and descriptions.
  2. Read only the specific sub-section file you need.
  3. Do NOT load entire sections. Pick the narrowest file that serves the user's question.

Step 3 — Apply in plain language

Use plain language for the user. Introduce FPF-internal names (U.Holon, Gamma, F-G-R) only when they add precision the user needs.

Step 4 — Compose findings across sections

When a problem draws from multiple sections:

  1. State each pattern's contribution in one line (e.g., "Bounded Contexts gives us the parts; Trust Calculus scores our confidence in each").
  2. If patterns from different sections appear to conflict, check for category errors via A.7 Strict Distinction — the conflict is usually a level confusion (role vs. function, method vs. work), not a real contradiction.
  3. Synthesize in natural order: decomposition first (what are the parts?), then evaluation (how confident are we?), then resolution (what do we do about gaps?).
  4. Do not just list FPF patterns — weave them into a coherent answer to the user's actual question.

Starter prompt (example — adapt to the user's actual role and need)

You have the FPF specification loaded. Help me structure my project / problem / programme. Use plain language for an engineer-manager. Propose: (1) bounded contexts / specialisations, (2) decision criteria, (3) key alternatives, (4) hand-offs, and (5) missing evidence or tests before commitment. Introduce internal FPF names only when they add precision.

Section INDEX

Structural reference. Each entry is a folder — read its _index.md first, then pick the sub-section.

#SectionSubWhen to use
01Title page0Authorship, version date, top-level identity.
02Table of Content0Navigate the spec, locate a pattern, trace inter-section dependencies.
03Preface17Onboard: reading paths by role, FPF philosophy, purpose and non-goals.
04Part A — Kernel19Decompose and assign: holons, bounded contexts, roles, transformers, method/work separation.
05A.IV.A — Signatures20Set boundaries: classify statements as definitions, gates, duties, or evidence.
06A.V — Principles29Prevent confusion: category errors, measuring, comparing, evidence graphs, mechanism suite, flow constraints, gate profiles.
07Part B — Reasoning24Compose and evaluate: aggregation (Gamma), trust scores, emergence, reasoning cycles.
08Part C — Extensions30Score and search: epistemic quality (F-G-R), kinds, measurement, open-ended search, problem typing, discipline composition, agentic tool-use, quality bundles.
09Part D — Ethics1Resolve conflicts: ethical trade-offs, bias auditing, safety overrides.
10Part E — Constitution0Entry point for Part E subsections.
11E-I — Constitution33Govern and publish: 11 Pillars, guard-rails, multi-view publication (MVPK), surface discipline, comparative reading, transduction graph, pattern quality gates.
12Part F — Unification0Entry point for Part F subsections.
13F.I — Meaning19Align vocabulary: semantic drift, homonym collisions, Alignment Bridges.
14UTS Layout A0Map concepts across standards (BPMN, PROV-O, ITIL).
15UTS Layout B1Map concepts across disciplines (operations, physics, math).
16Part G — SoTA Kit15Harvest disciplines: SoTA Packs, TraditionCards, OperatorCards, benchmarks.
17Part H — Glossary0Look up terms: canonical definitions, four-register naming, cross-references.
18Part I — Annexes0Walkthroughs, change log, external standards mappings.
19Part J — Indexes0Concept-to-pattern, pattern-to-example, principle-trace indexes.
20Part K — Lexical Debt2Fix terminology: mandatory replacements and migration debt.

平台分布

Codex

35.65%
按下载量换算42

Claude

28.44%
按下载量换算34

Cursor

18.32%
按下载量换算22

Gemini CLI

9.94%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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