agentleFS
Lixiuxiu559Lixiuxiu559/AgentForge/skills/research/SKILL.md

research

Skill4 starsChanged 44 days agoMITView on GitHub

对需要多步取证、交叉验证或比较分析的问题开展系统调查,形成有证据支持的结论。适用于跨模块行为调查、版本差异分析、技术方案比较及存在多种解释的疑难问题。不用于简单事实查询、定位符号或配置、单次文档查阅,以及其他技能中的常规信息确认。

189 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use daily-arxiv, exp-eval and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • LambenthanSkill

    daily-arxiv

    每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新

    Also in 5 projects that use this

  • LambenthanSkill

    exp-eval

    实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges

    Also in 5 projects that use this

  • truongtv22Skill

    Problem-Solving Techniques

    Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application.

    Also in 5 projects that use this

  • liufeng1976Skill

    setup-ts-deep-modules

    Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.

    Also in 43 projects that use this

  • skyllwtSkill

    exp-pilot-eval

    Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.

    Also in 4 projects that use this

  • skyllwtSkill

    exp-pilot-run

    Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.

    Also in 4 projects that use this

  • +5 more from Lambenthan
  • +1 more from skyllwt

The file

Files
SKILL.md

调研与调查工作流

目标与适用范围

将调查问题转化为有证据支持、可复核的结果。只负责调查取证与调查任务编排,交付调查结果。

需要追踪多个线索、验证不同解释或综合证据进行比较时使用;简单事实查询直接处理。用户明确指定时遵从,并按问题规模精简过程,不以文件数量或耗时决定调查规模。

调查问题与范围

明确要回答的问题、调查范围,以及相关的版本、时间和环境条件;遵循用户、项目或调用方的交付要求。

问题模糊时,先拆成可验证的问题,避免无目标泛搜。只确定与本次调查相关的条件,不要求所有调查都具备代码项目、分支或运行环境。

证据要求

根据调查问题,优先使用与目标版本、环境和时间范围一致的一手证据。区分规定行为与实际行为,不把当前实现直接当成正确需求,也不把文档说明直接当成运行事实。

关键结论通过独立来源或不同验证方式交叉核对;不同页面转述同一来源,不算独立证据。主动核对影响结论的反证和证据冲突,无法解决时保留不确定性,不只选取支持预想结论的材料。

证据应可定位,并能说明其适用条件;来源存在不等于支持结论。

调查任务委派

需要隔离大量材料或分配独立调查问题时,使用宿主的通用子 agent 能力;独立且无冲突的任务才并行,无派发能力时自行调查。

任务说明包含问题、范围、相关版本与条件、实际可用的项目或资料位置、必要的技能资源及交付要求。子 agent 只调查分配的问题,按本技能的结果要求返回,不代替主 Agent 决策。

主 Agent 等待实际结果,核对支撑关键结论的证据;发现缺失、冲突或版本不一致时补证。未完成或失败的调查不能算作已验证。

结果要求

直接回答调查问题,给出关键证据与结论;篇幅按问题规模调整,不强制套完整报告模板。结果应清楚区分:

  • 事实:直接观察或核实的内容,附可定位的来源及相关版本、时间或环境条件。
  • 推断:基于事实得出的解释,说明推理依据,不把假设写成已验证事实。
  • 未确认项:证据、权限或工具不足以确认的部分,以及影响结论的反证、证据冲突和适用限制。

说明关键结论的确定程度及依据,不强制使用统一的置信度标签。证据不足时允许交付未确定结论;“没有查到”不等于“不存在”,“工具不可用”不等于“系统没有数据”。

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.