Agent skill

Deep Research

by nicepkg in nicepkg/auto-company

Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification.

No licenceAuto-check passedResearch & Science

Install Deep Research

skills CLI
$ npx skills add nicepkg/auto-company --skill deep-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nicepkg/auto-company deep-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nicepkg/auto-company.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/deep-research .claude/skills/deep-research && rm -rf skills-src

Use ~/.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/

Facts

Skill name
deep-research
GitHub stars
192
Used in
4 other repos
Token cost
~8.3k tokens
SKILL.md length
3,051 words
Files
23 (incl. scripts)
Skills in repo
23
Repo updated
First seen
Licence
None found

At a glance

Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification.

  • Works in 5 steps: Clarify (Rarely Needed - Prefer Autonomy) → Plan → Act (Phase Execution) → …
  • User needs comprehensive analysis requiring 10+ sources
  • SKILL.md covers Core System Instructions, Decision Tree (Execute First), Workflow (Clarify → Plan → Act… and Output Contract, plus 7 more sections
  • Runs Python scripts from its folder; calls python

What it does

Deep Research is an agent skill from nicepkg/auto-company. Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis", "research report", "compare X vs Y", or "analyze trends". Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.

Its SKILL.md is about 8.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 25 other files, including scripts (for example `ARCHITECTURE_REVIEW.md`, `AUTONOMY_VERIFICATION.md` and `COMPETITIVE_ANALYSIS.md`).

It sits in Research & Science, covering Deep research. The repository describes itself as: 🤖 A fully autonomous AI company that runs 24/7. 14 AI agents (Bezos, Munger, DHH...) brainstorm ideas, write code, deploy products & make money — no human in the loop. Powered…

When your agent uses it

  • User needs comprehensive analysis requiring 10+ sources
  • Verified claims
  • Comparison of approaches
  • Include deep research

Example prompts

  • “deep research”
  • “comprehensive analysis”
  • “research report”
  • “/deep-research”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Clarify (Rarely Needed - Prefer Autonomy)
  2. Plan
  3. Act (Phase Execution)
  4. Verify (Always Execute)
  5. Report

What it can do on your machine

Read from SKILL.md and the folder at commit 1252920. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 7 files in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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 8.3k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 3,051 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~8.3k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 3,051 words (~8,266 tokens).

“Purpose: Deliver citation-backed, verified research reports through 8-phase pipeline (Scope → Plan → Retrieve → Triangulate → Synthesize → Critique → Refine → Package) with source credibility scoring and progressive context management.”

— opening of SKILL.md by nicepkg
name
deep-research

Read the full SKILL.md on GitHub

Files

SKILL.md and 22 other files (scripts) in .claude/skills/deep-research of nicepkg/auto-company.

  • SKILL.md
  • .gitignore
  • ARCHITECTURE_REVIEW.md
  • AUTONOMY_VERIFICATION.md
  • COMPETITIVE_ANALYSIS.md
  • CONTEXT_OPTIMIZATION.md
  • QUICK_START.md
  • WORD_PRECISION_AUDIT.md
  • reference/methodology.md
  • requirements.txt
  • scripts/citation_manager.py
  • scripts/md_to_html.py
  • scripts/research_engine.py
  • scripts/source_evaluator.py
  • scripts/validate_report.py
  • scripts/verify_citations.py
  • scripts/verify_html.py
  • templates/mckinsey_report_template.html
  • … and 5 more

Open the folder on GitHubat commit 1252920

Used in 4 other repositories

We found 7 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in nicepkg/auto-company, which our catalogue first saw on October 7, 2026.

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.

Deep Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deep Research this skillnicepkg/auto-company1924 repos~8.3kAutomated safety check: PassNone
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Deep Research WorkflowTokenRhythm/opensquilla7.1k—~1.3kAutomated safety check: PassApache-2.0
X Researchrohunvora/x-research-skill1.2k1 repos~1.6kAutomated safety check: PassNone
Deep Researchsanjay3290/ai-skills43010 repos~683Automated safety check: NotesApache-2.0
ResearchWeizhena/Deep-Research-skills2.3k3 repos~1.1kAutomated safety check: PassMIT

Similar skills

  • GitHub Deep Research

    bytedance/deer-flow

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    83k GitHub starsUsed in 5 repos~1.3k tokens
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  • Deep Research Workflow

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    Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.

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  • X Research

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    1.2k GitHub starsUsed in 1 repo~1.6k tokens
    Research & ScienceAuto-check passed
  • Deep Research

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    Execute autonomous multi-step research using Google Gemini Deep Research Agent.

    430 GitHub starsUsed in 10 repos~683 tokens
    Research & ScienceAuto-check: notes
  • Research

    Weizhena/Deep-Research-skills

    Conduct preliminary research on a topic and generate research outline.

    2.3k GitHub starsUsed in 3 repos~1.1k tokens
    Research & ScienceAuto-check passed
  • 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.

    21k GitHub stars~2.1k tokensUpdated 6 days ago
    Research & ScienceAuto-check passed

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Questions about Deep Research

What does Deep Research do?

Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Deep Research is an agent skill from nicepkg/auto-company. Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification.

When should I use Deep Research?

Deep Research fits situations like: user needs comprehensive analysis requiring 10+ sources; verified claims; comparison of approaches; include deep research.

How do I install Deep Research in Claude Code?

Run `npx skills add nicepkg/auto-company --skill deep-research -a claude-code`. Or copy the skill folder (.claude/skills/deep-research in nicepkg/auto-company) 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 nicepkg/auto-company --skill deep-research -a codex`. Or copy the skill folder (.claude/skills/deep-research in nicepkg/auto-company) 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 nicepkg/auto-company --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?

Going by SKILL.md and its folder, Deep Research needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Deep Research use?

No licence was found for Deep Research or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Deep Research use?

About 8.3k tokens (SKILL.md is roughly 33k 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, 83k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), X Research (rohunvora/x-research-skill, 1.2k stars) and Deep Research (sanjay3290/ai-skills, 430 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deep Research?

nicepkg (a GitHub organization) maintains it in nicepkg/auto-company, which has 192 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on February 12, 2026.

Source: nicepkg/auto-company on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.