deep-research
Skill1 starsChanged 30 days agoMITView on GitHub
当任务需要多信源核实、深度调研、复杂决策,或用户质疑某个结论「有依据吗 / 来源呢 / 会不会过时」,以及涉及数据计算、时效性信息、存在争议的学术或行业话题时使用。
196 other projects use a version of this.
Adopted by
Most recently taken up by
- ridelink0/ultimate-frontend-skillstheir own version, first seen Nov 8, 2026
- chrisblattman/claudeblattmantheir own version, first seen Nov 8, 2026
- genericService/claude-skillstheir own version, first seen Nov 8, 2026
- ourostack/ouroboros-skillstheir own version, first seen Nov 8, 2026
- mahsumaktas/agent-evolution-kittheir own version, first seen Nov 8, 2026
- insight68/Skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use community-led-growth, ph-community-outreach 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.
nicepkgSkillcommunity-led-growth
Expert in community-led growth (CLG) - leveraging user communities to drive acquisition, retention, and expansion. Covers building developer communities, user groups, ambassador programs, and turning customers into advocates. Knows the difference between community as a feature vs community as a growth engine, and how to measure community ROI. Use when "community-led, CLG, ambassador program, champion program, user community, developer community, word of mouth, user group, " mentioned.
Also in 5 projects that use this
nicepkgSkillph-community-outreach
Engage Reddit, Indie Hackers, Hacker News and other communities for Product Hunt launches. Use this skill to identify relevant communities, craft appropriate posts, and drive cross-platform engagement without appearing spammy.
Also in 5 projects that use this
W-MoorerSkillacademic-paper-reviewer
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy.
Also in 11 projects that use this
W-MoorerSkillacademic-pipeline
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
Also in 10 projects that use this
xfstudioSkillmicro-saas-launcher
Expert in launching small, focused SaaS products fast - the indie hacker approach to building profitable software. Covers idea validation, MVP development, pricing, launch strategies, and growing to sustainable revenue. Ship in weeks, not months. Use when: micro saas, indie hacker, small saas, side project, saas mvp.
Also in 5 projects that use this
stophobiaSkillsurprise-me
Create a delightful, unexpected "wow" experience for the user by dynamically discovering and creatively combining other enabled skills. Triggers when the user says "surprise me" or any request expressing a desire for an unexpected creative showcase. Also triggers when the user is bored, wants inspiration, or asks for "something interesting".
Also in 4 projects that use this
- +4 more from nicepkg
- +1 more from W-Moorer
Other versions196 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 196
- affaan-m/ECC★ 246ksame name
- bytedance/deer-flow★ 85ksame name
- Imbad0202/academic-research-skills★ 56ksame name
- THU-MAIC/OpenMAIC★ 43ksame name
- HKUSTDial/Supervisor-Skills★ 12ksame name
- genspark-ai/genoffice★ 12ksame name
- advaitpaliwal/feynman★ 10ksame name
- companion-inc/feynman★ 10ksame name
- getcompanion-ai/feynman★ 10ksame name
- jordan-gibbs/hyperresearch★ 4.4ksame name
186 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository5 other files it gives its agents.
- authoring-skillsSkill
- cognitive-anchorSkill
- feature-cluster-syntaxSkill
- info-flow-protocolSkill
- using-charterSkill
The file
Files
深度研究
把模糊需求拆成可验证的步骤,通过多路径推理、多信源交叉验证、对抗性校验, 输出有据可依、逻辑自洽的结论。
核心原则:思考先行、证据说话、对抗验证、持续自检。
检索五阶
阶段 1 · 查询解析
提取核心实体、时间、地域、事件类型;识别明确需求与潜在假设;标记查询自带的 预设立场(后续隔离);生成 3–5 组检索关键词。
阶段 2 · 多维度检索
| 层级 | 来源类型 | 适用 |
| 公开层 | 搜索引擎、官方发布、学术库 | 事实查询、背景信息 |
| 半公开层 | 行业论坛、专业社群、白皮书 | 深度洞察、实际经验 |
| 推理层 | 基于已知事实的逻辑推导 | 信息不足时的合理推断(必须标注「推测」) |
阶段 3 · 信源评估与交叉验证
| 等级 | 类型 | 可信度 | 使用规则 |
| A | 官方发布、学术期刊、政府文件 | 90%+ | 优先作为基准 |
| B | 知名媒体、行业顶级协会 | 70–90% | 需甄别立场 |
| C | 自媒体、博客、论坛 | 30–70% | 仅作线索 |
| D | 匿名来源、情绪化内容 | <30% | 仅识别异常 |
关键事实至少需 2 个独立信源确认,否则标注「待验证」。
阶段 4 · 证据链构建
按时间线或逻辑线梳理关键事实;严格区分四态:✅确证事实 / 🟡高度可能 / 🔵推测猜想 / 🔴存在争议;识别逻辑跳跃、时间错位、利益诱导。
阶段 5 · 证据溯源账本
每个关键结论绑定来源 ID,结论与来源一一可查:
[E1] 来源:xxx | 时间:2026-xx-xx | 摘要:xxx
[E2] 来源:xxx | 时间:2026-xx-xx | 摘要:xxx对抗验证(核心,不可跳过)
对每一个重要结论,主动搜索反面:
- ❌ 反面证据:有没有反对这个观点的研究/数据?
- ❌ 局限性:这个结论的适用边界是什么?
- ❌ 失败案例:有没有人试过失败了?为什么?
- ❌ 竞争理论:有没有其他解释?
- ❌ 时效性:这个信息过时了吗?
三态结论输出
| 状态 | 含义 | 标注 |
| 确认 | 多信源交叉验证一致,无明显反例 | ✅ 已验证 |
| 可疑 | 证据不足,存在矛盾 | 🟡 待验证 |
| 冲突 | 多方证据矛盾,各执一词 | ⚔️ 存在争议 |
绝对禁止:把推测写成事实,把单一来源写成定论。
输出模式(自适应)
标准模式(默认)
【核心结论】1–3 句直击本质
【原理说明】底层逻辑是什么
【实操建议】要行动的话怎么做深度模式(L3/L4、决策规划、系统设计)
【核心结论】1–3 句精准答案
【权威支撑】引用来源(E1/E2/E3…),标注出处
【底层逻辑】拆解本质,给出可复用框架
【落地路径】分步方案,每步有目标与验收标准
【对抗验证】反例、局限、风险点
【风险与补充】不确定性、争议点、备选方案硬规则
- 所有事实性陈述必须有依据,不编造。
- 回答必须承接上下文,不重复提问。
- 始终以解决用户诉求为核心,先给结论。
- 学术争议必须呈现多方观点。
- 涉及数字计算必须用工具,不心算。
- 实时信息必须优先检索。
常用思考框架(按需调用,不堆砌)
第一性原理(拆到最基本事实重新推导)· MECE(相互独立完全穷尽)· 金字塔原理(结论先行)· SWOT · 5W2H · PDCA · 成本收益分析 · 费曼学习法(用最简单的语言解释)· 因果回路图(正负反馈回路)。
与宪章的关系
本技能落实宪章条款:5-R2(证据优先,无依据必须标注)· 5-R3(像破案一样建立证据链)· 5-R4(资深同行视角,拒绝套话)· 7-R3(建构者/质疑者/验证者三角对冲)· 8-R2(结论附来源,代码可直接运行)· 0.7-R3(低置信须标「待验证」)。
调用 charter_clause("5-R3") 可取回条文原文。
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