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.
Turn vague research needs into one precise deep-research prompt with context and output criteria.
Install Research Prompt
$ npx skills add sickn33/agentic-awesome-skills --skill research-prompt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills research-prompt --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-prompt .claude/skills/research-prompt && 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 "research-prompt" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/research-prompt into .claude/skills/research-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-prompt", 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/sickn33/agentic-awesome-skills/tree/main/skills/research-promptType 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 sickn33/agentic-awesome-skills --skill research-prompt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills research-prompt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research-prompt .agents/skills/research-prompt && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research-prompt" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/research-prompt into .agents/skills/research-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-prompt", 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 sickn33/agentic-awesome-skills --skill research-prompt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills research-prompt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research-prompt .cursor/skills/research-prompt && 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 "research-prompt" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/research-prompt into .cursor/skills/research-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-prompt", 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/sickn33/agentic-awesome-skills.git --path skills/research-prompt--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 sickn33/agentic-awesome-skills --skill research-prompt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills research-prompt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research-prompt .gemini/skills/research-prompt && 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 "research-prompt" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/research-prompt into .gemini/skills/research-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-prompt", 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 sickn33/agentic-awesome-skills research-promptInstalls 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 sickn33/agentic-awesome-skills --skill research-prompt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research-prompt .github/skills/research-prompt && 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 "research-prompt" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/research-prompt into .github/skills/research-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-prompt", 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 sickn33/agentic-awesome-skills --skill research-prompt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills research-prompt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research-prompt .opencode/skills/research-prompt && 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 "research-prompt" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/research-prompt into .opencode/skills/research-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-prompt", 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
research-prompt- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~1.3k tokens
- SKILL.md length
- 685 words
- Files
- 1
- Skills in repo
- 1,497
- Repo updated
- First seen
- Licence
- MIT
At a glance
Turn vague research needs into one precise deep-research prompt with context and output criteria.
- Works in 5 steps: Pull context from the relevant project… → Identify the ONE question the research… → Draft 3–6 numbered sub-questions that… → …
- Tasks that involve Deep research
- SKILL.md covers When to Use, Rules, Process and Template, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Research Prompt is an agent skill from sickn33/agentic-awesome-skills. Turn vague research needs into one precise deep-research prompt with context and output criteria.
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: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- Tasks that involve Deep research
Example prompts
- “/research-prompt”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Pull context from the relevant project files / conversation (dates, names, known facts, audience, end use), and write a 1–2 sentence…
- Identify the ONE question the research answers.
- Draft 3–6 numbered sub-questions that fully cover it.
- Add include/avoid constraints + the per-finding output format.
- Compress to one clean paragraph. Cut filler.
What it can do on your machine
Read from SKILL.md and the folder at commit b84d35a. 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
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
Research Prompt loads about 1.3k tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 685 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 sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 685 words, ~1,306 tokens.
Download SKILL.mdSave it as
.claude/skills/research-prompt/SKILL.md (or your agent's skills folder).- name
- research-prompt
- description
- Turn vague research needs into one precise deep-research prompt with context and output criteria.
- category
- research
- risk
- safe
- source
- community
- source_repo
- davidondrej/skills
- source_type
- community
- date_added
- 2026-07-07
- author
- davidondrej
- tags
- research, prompting, briefs
- tools
- claude, codex
- license
- MIT
Research Prompt
When to Use
- Use when the user wants a deep-research brief or researcher prompt.
- Use when a vague research question needs to become one precise self-contained paragraph.
Goal: turn a vague research need into ONE self-contained paragraph that a researcher with zero prior knowledge of the project can act on with zero back-and-forth.
Rules
- One paragraph. No headers, no bullet list in the deliverable.
- Prompt the job, not the topic. Give search handles (timeframe, ranking, source type, decision logic) — not just a subject.
- Assume zero prior knowledge. Write for a researcher who has never heard of the project. Open by explaining, in plain English, what the project/product is, why it exists, and the current situation — so they understand what's going on, what we need, and why we need it.
- Lead with the goal + decision. Right after that explainer, state the single question the research must answer and the decision/use it informs.
- Embed all context. Names, dates, product, prior known facts, constraints. The researcher must not need to ask anything or guess.
- Number the sub-questions inline (1, 2, 3…) so coverage is explicit. Keep to 3–6. One mission per prompt — don't cram unrelated questions.
- State constraints. What to include, what to avoid (e.g. "only non-Chinese competitors", "no marketing fluff").
- Source hierarchy. Prefer primary sources (official docs, GitHub, papers, filings, changelogs); forums/X/Reddit are weak signal only, never factual proof.
- Contradiction handling. If sources conflict, separate confirmed facts / inference / unresolved uncertainty — don't force fake consensus. Flag low-confidence claims for verification.
- Completion bar (define "done"). Don't stop at the first plausible answer. Corroborate each key claim with multiple independent primary sources where they exist; where sources are scarce, say so explicitly instead of padding. Keep going until every numbered sub-question is covered to this bar.
- Gap round before finishing. Require a final self-critique pass: list gaps, contradictions, and any single-source claims, then run another round of searches to close them — repeat until clean.
- Constrain output hard, method loosely. Be strict on the deliverable; leave the search path flexible so the researcher can explore.
- Demand a fixed output per finding: source link + specific claim + one-line "why it matters / why a viewer should care".
- Verifiable, citable facts only. No opinions.
- Last sentence: instruct them to output everything into a single detailed markdown file.
Show full SKILL.md (306 more words)Show less
Process
- Pull context from the relevant project files / conversation (dates, names, known facts, audience, end use), and write a 1–2 sentence plain-English explainer of what the project is and why it exists for a reader who knows nothing.
- Identify the ONE question the research answers.
- Draft 3–6 numbered sub-questions that fully cover it.
- Add include/avoid constraints + the per-finding output format.
- Compress to one clean paragraph. Cut filler.
Template
[For a reader with zero prior knowledge: in 1–2 plain-English sentences, what the project/product is, why it exists, and the current situation.] Research [TOPIC + key identifying facts] to answer one question: [THE QUESTION] — for [DECISION / END USE]. Find: (1) …; (2) …; (3) …; (4) …. [Constraints: include X, avoid Y.] Prefer primary sources; treat forums/social as weak signal only; if sources conflict, separate fact from inference and flag what needs verification. Don't stop at the first plausible answer: corroborate each key claim with multiple independent primary sources where they exist (and say so explicitly where they don't), continuing until every numbered question is covered to that bar. Before finishing, do a self-critique pass — list gaps, contradictions, and any single-source claims, then run another round of searches to close them, repeating until clean. For each point, give the source link, the specific claim, and a one-line "why it matters". No marketing fluff — verifiable, citable facts only. Output everything into a single detailed markdown file.
Executing the prompt
To run the finished prompt with an AI researcher, execute it via DeepAPI POST /v1/research/deep — follow the deep-research skill.
Example
User request:
Turn vague research needs into one precise deep-research prompt with context and output criteria.
Limitations
- Adapted from
davidondrej/skills; verify local paths, tools, credentials, and agent features before acting. - For commands, remote access, scheduling, browser automation, or file-changing workflows, get explicit user approval and confirm the target environment first.
© sickn33, 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 skills/research-prompt of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit b84d35a
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Research Prompt 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 |
|---|---|---|---|---|---|---|
| Research Prompt this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~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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Related
Categories
Questions about Research Prompt
What does Research Prompt do?
Turn vague research needs into one precise deep-research prompt with context and output criteria. Research Prompt is an agent skill from sickn33/agentic-awesome-skills. Turn vague research needs into one precise deep-research prompt with context and output criteria.
When should I use Research Prompt?
Research Prompt fits situations like: tasks that involve Deep research.
How do I install Research Prompt in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill research-prompt -a claude-code`. Or copy the skill folder (skills/research-prompt in sickn33/agentic-awesome-skills) into .claude/skills/research-prompt in your project. Claude Code loads it when a task matches its description.
How do I install Research Prompt in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill research-prompt -a codex`. Or copy the skill folder (skills/research-prompt in sickn33/agentic-awesome-skills) into .agents/skills/research-prompt in your project. Codex loads it when a task matches its description.
Can I use Research Prompt 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 sickn33/agentic-awesome-skills --skill research-prompt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-prompt, .gemini/skills/research-prompt, .github/skills/research-prompt and .opencode/skills/research-prompt in your project.
What does Research Prompt need to run?
SKILL.md names no scripts, command-line tools or credentials: Research Prompt is instructions for the agent only.
Does Research Prompt 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 Research Prompt 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 Research Prompt use?
Research Prompt 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 Research Prompt 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 Research Prompt?
Skills that share tags, products or a category with Research Prompt: 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 Research Prompt?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.