跳到正文
cccskills
免费在 GitHub 公开

deep-research

Generate format-controlled research reports with evidence tracking, citations, and iterative review. This skill should be used when users request a research report, literature review, market or industry analysis, competitive landscape, policy or technical brief, or require a strict report template and section formatting that a single deepresearch pass cannot reliably enforce.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(6)

  • SKILL.md7.2 KB
  • references/completeness_review_checklist.md720 B
  • references/formatting_rules.md918 B
  • references/research_plan_checklist.md629 B
  • references/research_report_template.md1.0 KB
  • references/source_quality_rubric.md931 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Deep Research

Create high-fidelity research reports with strict format control, evidence mapping, and multi-pass synthesis.

Quick Start

  1. Clarify the report spec and format contract
  2. Build a research plan and query set
  3. Collect evidence with the deepresearch tool (multi-pass if needed)
  4. Triage sources and build an evidence table
  5. Draft the full report in multiple complete passes (parallel subagents)
  6. UNION merge, enforce format compliance, verify citations
  7. Present draft for human review and iterate

Core Workflow

Copy this checklist and track progress:

Deep Research Progress:
- [ ] Step 1: Intake and format contract
- [ ] Step 2: Research plan and query set
- [ ] Step 3: Evidence collection (deepresearch tool)
- [ ] Step 4: Source triage and evidence table
- [ ] Step 5: Outline and section map
- [ ] Step 6: Multi-pass full drafting (parallel subagents)
- [ ] Step 7: UNION merge and format compliance
- [ ] Step 8: Evidence and citation verification
- [ ] Step 9: Present draft for human review and iterate

Step 1: Intake and Format Contract

Establish the report requirements before any research:

  • Confirm audience, purpose, scope, time range, and geography
  • Lock output format: Markdown, DOCX, slides, or user-provided template
  • Capture required sections and exact formatting rules
  • Confirm citation style (footnotes, inline, numbered, APA, etc.)
  • Confirm length targets per section
  • Ask for any existing style guide or sample report

Create a concise report spec file:

Report Spec:
- Audience:
- Purpose:
- Scope:
- Time Range:
- Geography:
- Required Sections:
- Section Formatting Rules:
- Citation Style:
- Output Format:
- Length Targets:
- Tone:
- Must-Include Sources:
- Must-Exclude Topics:

If a user provides a template or an example report, treat it as a hard constraint and mirror the structure.

Step 2: Research Plan and Query Set

Define the research strategy before calling tools:

  • Break the main question into 3-7 subquestions
  • Define key entities, keywords, and synonyms
  • Identify primary sources vs secondary sources
  • Define disqualifiers (outdated, low quality, opinion-only)
  • Assemble a query set per section

Use references/research_plan_checklist.md for guidance.

Step 3: Evidence Collection (Deepresearch Tool)

Use the deepresearch tool to collect evidence and citations.

  • Run multiple complete passes if coverage is uncertain
  • Vary query phrasing to reduce blind spots
  • Preserve raw tool output in files for traceability

File structure (recommended):

<output_dir>/research/<topic-name>/
  deepresearch_pass1.md
  deepresearch_pass2.md
  deepresearch_pass3.md

If deepresearch is unavailable, rely on user-provided sources only and state limitations explicitly.

Step 4: Source Triage and Evidence Table

Normalize and score sources before drafting:

Evidence table minimum columns:

  • Source ID
  • Title
  • Publisher
  • Date
  • URL or reference
  • Quality tier (A/B/C)
  • Notes

Step 5: Outline and Section Map

Create an outline that enforces the format contract:

Step 6: Multi-Pass Full Drafting (Parallel Subagents)

Avoid single-pass drafting; generate multiple complete reports, then merge.

Preferred Strategy: Parallel Subagents (Complete Draft Each)

Use the Task tool to spawn parallel subagents with isolated context. Each subagent must:

  • Load the report spec, outline, and evidence table
  • Draft the FULL report (all sections)
  • Enforce formatting rules and citation style

Implementation pattern:

Task(subagent_type="general-purpose", prompt="Draft complete report ...", run_in_background=false) -> version1.md
Task(subagent_type="general-purpose", prompt="Draft complete report ...", run_in_background=false) -> version2.md
Task(subagent_type="general-purpose", prompt="Draft complete report ...", run_in_background=false) -> version3.md

Write drafts to files, not conversation context:

<output_dir>/intermediate/<topic-name>/version1.md
<output_dir>/intermediate/<topic-name>/version2.md
<output_dir>/intermediate/<topic-name>/version3.md

Step 7: UNION Merge and Format Compliance

Merge using UNION, never remove content without evidence-based justification:

  • Keep all unique findings from all versions
  • Consolidate duplicates while preserving the most detailed phrasing
  • Ensure every claim in the merged draft has a cited source
  • Enforce the exact section order, headings, and formatting
  • Re-run formatting rules from references/formatting_rules.md

Step 8: Evidence and Citation Verification

Verify traceability:

  • Every numeric claim has at least one source
  • Every recommendation references supporting evidence
  • No orphan claims without citations
  • Dates and time ranges are consistent
  • Conflicts are explicitly called out with both sources

Use references/completeness_review_checklist.md.

Step 9: Present Draft for Human Review and Iterate

Present the draft as a reviewable version:

  • Emphasize that format compliance and factual accuracy need human review
  • Accept edits to format, structure, and scope
  • If the user provides another AI output, cross-compare and UNION merge

Output Requirements

  • Match the requested language and tone
  • Preserve technical terms in English
  • Respect the report spec and formatting rules
  • Include a references section or bibliography

Reference Files

FileWhen to Load
research_report_template.mdBuild outline and draft structure
formatting_rules.mdEnforce section formatting and citation rules
source_quality_rubric.mdScore and triage sources
research_plan_checklist.mdBuild research plan and query set
completeness_review_checklist.mdReview for coverage, citations, and compliance

Anti-Patterns

  • Single-pass drafting without parallel complete passes
  • Splitting passes by section instead of full report drafts
  • Ignoring the format contract or user template
  • Claims without citations or evidence table mapping
  • Mixing conflicting dates without calling out discrepancies
  • Copying external AI output without verification
  • Deleting intermediate drafts or raw research outputs

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Image generation skill using Gemini Web. Generates images from text prompts via Google Gemini. Also supports text generation. Use as the image generation backend for other skills like cover-image, xhs-images, article-illustrator.

中文简介正在准备中。当前显示原文说明。

proyecto26/sherlock-ai-plugin392026年9月1日 更新

Transform academic papers into in-depth technical articles with multiple writing style options. Use the MinerU Cloud API for high-precision PDF parsing, automatically extracting images, tables, and formulas. Optional formula explanations and GitHub code analysis, generating Markdown and HTML formats.

中文简介正在准备中。当前显示原文说明。

proyecto26/sherlock-ai-plugin392026年9月1日 更新

Generate educational comics from academic papers, using visual storytelling to explain core ideas and innovations. Supports 4 art styles: classic (clean lines), tech (futuristic), warm (friendly), chalk (blackboard). Uses genimg-gemini-web to generate images.

中文简介正在准备中。当前显示原文说明。

proyecto26/sherlock-ai-plugin392026年9月1日 更新

Analyzes research papers (PDF/arXiv URL) and converts them into executable code. Automatically activated upon requests for paper replication, algorithm implementation, or research reproduction. Responds to requests like "Implement this paper", "paper2code", "Convert paper to code".

中文简介正在准备中。当前显示原文说明。

proyecto26/sherlock-ai-plugin392026年9月1日 更新

Transform research papers into professional visual schemas. Analyzes paper logic, selects optimal layout patterns, and generates detailed prompts for AI image generation.

中文简介正在准备中。当前显示原文说明。

proyecto26/sherlock-ai-plugin392026年9月1日 更新

查看 proyecto26 的全部技能

报告此技能的问题