GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Systematic multi-angle web research methodology. An agent skill from HezaoHezao/poirot.
Install Deep Research
$ npx skills add HezaoHezao/poirot --skill deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HezaoHezao/poirot deep-research --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/HezaoHezao/poirot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/poirot/backend/agents/skill/builtin_skills/research/deep-research .claude/skills/deep-research && 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 "deep-research" agent skill from https://github.com/HezaoHezao/poirot/tree/master/poirot/backend/agents/skill/builtin_skills/research/deep-research into .claude/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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/HezaoHezao/poirot/tree/master/poirot/backend/agents/skill/builtin_skills/research/deep-researchType 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 HezaoHezao/poirot --skill deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HezaoHezao/poirot deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HezaoHezao/poirot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/poirot/backend/agents/skill/builtin_skills/research/deep-research .agents/skills/deep-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-research" agent skill from https://github.com/HezaoHezao/poirot/tree/master/poirot/backend/agents/skill/builtin_skills/research/deep-research into .agents/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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 HezaoHezao/poirot --skill deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HezaoHezao/poirot deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HezaoHezao/poirot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/poirot/backend/agents/skill/builtin_skills/research/deep-research .cursor/skills/deep-research && 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 "deep-research" agent skill from https://github.com/HezaoHezao/poirot/tree/master/poirot/backend/agents/skill/builtin_skills/research/deep-research into .cursor/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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/HezaoHezao/poirot.git --path poirot/backend/agents/skill/builtin_skills/research/deep-research--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 HezaoHezao/poirot --skill deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HezaoHezao/poirot deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HezaoHezao/poirot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/poirot/backend/agents/skill/builtin_skills/research/deep-research .gemini/skills/deep-research && 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 "deep-research" agent skill from https://github.com/HezaoHezao/poirot/tree/master/poirot/backend/agents/skill/builtin_skills/research/deep-research into .gemini/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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 HezaoHezao/poirot deep-researchInstalls 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 HezaoHezao/poirot --skill deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HezaoHezao/poirot.git skills-src && mkdir -p .github/skills && cp -r skills-src/poirot/backend/agents/skill/builtin_skills/research/deep-research .github/skills/deep-research && 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 "deep-research" agent skill from https://github.com/HezaoHezao/poirot/tree/master/poirot/backend/agents/skill/builtin_skills/research/deep-research into .github/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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 HezaoHezao/poirot --skill deep-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HezaoHezao/poirot deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HezaoHezao/poirot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/poirot/backend/agents/skill/builtin_skills/research/deep-research .opencode/skills/deep-research && 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 "deep-research" agent skill from https://github.com/HezaoHezao/poirot/tree/master/poirot/backend/agents/skill/builtin_skills/research/deep-research into .opencode/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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
deep-research- GitHub stars
- 249
- Token cost
- ~1.3k tokens
- SKILL.md length
- 575 words
- Files
- 1
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- MIT
At a glance
Systematic multi-angle web research methodology. An agent skill from HezaoHezao/poirot.
- Works in 4 steps: Broad Exploration → Deep Dive → Diversity & Validation → …
- Tasks that involve Deep research
- SKILL.md covers Overview, When to Use, Core Principle and Research Methodology, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Deep Research is an agent skill from HezaoHezao/poirot. Systematic multi-angle web research methodology.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Deep research. The repository describes itself as: Poirot is a deep research agent kernel built for those who care about how agents are architected. The licence is MIT.
When your agent uses it
- Tasks that involve Deep research
Example prompts
- “/deep-research”
Requirements
- Pre-approved tools (allowed-tools): web_search, browse_page, write_file
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 86bf279. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
web_searchbrowse_pagewrite_file
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
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
Deep Research loads about 1.3k tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 575 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from HezaoHezao/poirot at commit 86bf279, republished under its MIT licence (© HezaoHezao). 575 words, ~1,306 tokens.
Download SKILL.mdSave it as
.claude/skills/deep-research/SKILL.md (or your agent's skills folder).- name
- deep-research
- description
- Systematic multi-angle web research methodology.
- allowed-tools
- web_search, browse_page, write_file
- enabled
- true
- related-skills
- github-deep-research, consulting-analysis
- license
- MIT
- author
- Adapted from deer-flow (Bytedance, MIT)
Deep Research
Overview
Systematic methodology for thorough web research. Load this skill BEFORE starting any content generation task to ensure information from multiple angles, depths, and sources.
When to Use
Always load when:
- User asks "what is X", "explain X", "research X", "investigate X"
- User wants to understand a concept, technology, or topic in depth
- A single web search would be insufficient to answer properly
- Before creating presentations, reports, articles, or any content requiring real-world information
Core Principle
Never generate content based solely on general knowledge. A single search query is NEVER enough.
Research Methodology
Phase 1: Broad Exploration
Start with broad searches to understand the landscape:
- Initial Survey: Search for the main topic to understand overall context
- Identify Dimensions: From initial results, identify key subtopics, themes, angles needing deeper exploration
- Map the Territory: Note different perspectives, stakeholders, viewpoints
Phase 2: Deep Dive
For each important dimension identified, conduct targeted research:
- Specific Queries: Search with precise keywords for each subtopic
- Multiple Phrasings: Try different keyword combinations
- Fetch Full Content: Use
browse_pageto read important sources in full, not just snippets - Follow References: When sources mention other resources, search for those
Phase 3: Diversity & Validation
Ensure comprehensive coverage by seeking diverse information types:
| Information Type | Purpose | Example Searches |
|---|---|---|
| Facts & Data | Concrete evidence | "statistics", "data", "market size" |
| Examples & Cases | Real-world applications | "case study", "example", "implementation" |
| Expert Opinions | Authority perspectives | "expert analysis", "interview", "commentary" |
| Trends & Predictions | Future direction | "trends 2026", "forecast", "future of" |
| Comparisons | Context and alternatives | "vs", "comparison", "alternatives" |
| Challenges & Criticisms | Balanced view | "challenges", "limitations", "criticism" |
Phase 4: Synthesis Check
Before proceeding to content generation, verify:
- Searched from at least 3-5 different angles?
- Fetched and read the most important sources in full?
- Have concrete data, examples, and expert perspectives?
- Explored both positive aspects and challenges/limitations?
- Information is current and from authoritative sources?
If any answer is NO, continue researching before generating content.
Search Strategy Tips
Effective Query Patterns
# Be specific with context
"enterprise AI adoption trends 2026"
# Include authoritative source hints
"[topic] research paper"
"[topic] McKinsey report"
# Search for specific content types
"[topic] case study"
"[topic] statistics"
# Use temporal qualifiers — use the ACTUAL current year
"[topic] 2026"
"[topic] latest"Show full SKILL.md (252 more words)Show less
Temporal Awareness
Always check the current date before forming search queries:
| User intent | Temporal precision | Example query |
|---|---|---|
| "today / just released" | Month + Day | "tech news February 28 2026" |
| "this week" | Week range | "technology releases week of Feb 24 2026" |
| "recently / latest" | Month | "AI breakthroughs February 2026" |
| "this year / trends" | Year | "software trends 2026" |
When to Use browse_page
Use browse_page to read full content when:
- A search result looks highly relevant and authoritative
- You need detailed information beyond the snippet
- The source contains data, case studies, or expert analysis
Iterative Refinement
Research is iterative:
- Review what you've learned
- Identify gaps in your understanding
- Formulate new, more targeted queries
- Repeat until comprehensive coverage
Quality Bar
Research is sufficient when you can confidently answer:
- What are the key facts and data points?
- What are 2-3 concrete real-world examples?
- What do experts say about this topic?
- What are the current trends and future directions?
- What are the challenges or limitations?
- What makes this topic relevant or important now?
Common Mistakes
- ❌ Stopping after 1-2 searches
- ❌ Relying on search snippets without reading full sources
- ❌ Searching only one aspect of a multi-faceted topic
- ❌ Ignoring contradicting viewpoints or challenges
- ❌ Using outdated information when current data exists
- ❌ Starting content generation before research is complete
Output
After completing research, you should have:
- Comprehensive understanding from multiple angles
- Specific facts, data points, and statistics
- Real-world examples and case studies
- Expert perspectives and authoritative sources
- Current trends and relevant context
Only then proceed to content generation.
© HezaoHezao, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in poirot/backend/agents/skill/builtin_skills/research/deep-research of HezaoHezao/poirot.
Open the folder on GitHubat commit 86bf279
Compare with similar skills
Deep Research 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 |
|---|---|---|---|---|---|---|
| Deep Research this skillHezaoHezao/poirot | 249 | — | ~1.3k | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Deep Researchsanjay3290/ai-skills | 432 | 9 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills | 21k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Academic Research PipelineImbad0202/academic-research-skills | 51k | — | ~15k | Automated safety check: Pass | Custom licence |
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Deep Research Workflow
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
Deep Research
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Execute autonomous multi-step research using Google Gemini Deep Research Agent.
Horizontal-Vertical Deep Research
KKKKhazix/khazix-skills
Runs a two-axis deep research method on a product, company, concept or person: its full history over time, compared with peers today, delivered as a typeset PDF report.
Academic Research Pipeline
Imbad0202/academic-research-skills
Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.
Academic Research Suite for Codex
Imbad0202/academic-research-skills-codex
A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.
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Categories
Questions about Deep Research
What does Deep Research do?
Systematic multi-angle web research methodology. An agent skill from HezaoHezao/poirot. Deep Research is an agent skill from HezaoHezao/poirot. Systematic multi-angle web research methodology.
When should I use Deep Research?
Deep Research fits situations like: tasks that involve Deep research.
How do I install Deep Research in Claude Code?
Run `npx skills add HezaoHezao/poirot --skill deep-research -a claude-code`. Or copy the skill folder (poirot/backend/agents/skill/builtin_skills/research/deep-research in HezaoHezao/poirot) into .claude/skills/deep-research in your project. Claude Code loads it when a task matches its description.
How do I install Deep Research in Codex?
Run `npx skills add HezaoHezao/poirot --skill deep-research -a codex`. Or copy the skill folder (poirot/backend/agents/skill/builtin_skills/research/deep-research in HezaoHezao/poirot) into .agents/skills/deep-research in your project. Codex loads it when a task matches its description.
Can I use Deep Research 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 HezaoHezao/poirot --skill deep-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-research, .gemini/skills/deep-research, .github/skills/deep-research and .opencode/skills/deep-research in your project.
What does Deep Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Deep Research is instructions for the agent only. Its frontmatter pre-approves these tools: web_search, browse_page, write_file.
Does Deep Research 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 Deep Research 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. Review the folder before installing.
What licence does Deep Research use?
Deep Research 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 Deep Research use?
About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Deep Research?
Skills that share tags, products or a category with Deep Research: GitHub Deep Research (bytedance/deer-flow, 84k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 432 stars) and Horizontal-Vertical Deep Research (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research?
HezaoHezao (a GitHub user) maintains it in HezaoHezao/poirot, which has 249 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on July 28, 2026.
Source: HezaoHezao/poirot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.