Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping.
$ npx skills add lingzhi227/agent-research-skills --skill atomic-decomposition -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lingzhi227/agent-research-skills atomic-decomposition --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/lingzhi227/agent-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/atomic-decomposition .claude/skills/atomic-decomposition && 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 "atomic-decomposition" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/atomic-decomposition into .claude/skills/atomic-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atomic-decomposition", 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/lingzhi227/agent-research-skills/tree/main/skills/atomic-decompositionType 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 lingzhi227/agent-research-skills --skill atomic-decomposition -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lingzhi227/agent-research-skills atomic-decomposition --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/atomic-decomposition .agents/skills/atomic-decomposition && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "atomic-decomposition" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/atomic-decomposition into .agents/skills/atomic-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atomic-decomposition", 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 lingzhi227/agent-research-skills --skill atomic-decomposition -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lingzhi227/agent-research-skills atomic-decomposition --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/atomic-decomposition .cursor/skills/atomic-decomposition && 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 "atomic-decomposition" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/atomic-decomposition into .cursor/skills/atomic-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atomic-decomposition", 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/lingzhi227/agent-research-skills.git --path skills/atomic-decomposition--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 lingzhi227/agent-research-skills --skill atomic-decomposition -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lingzhi227/agent-research-skills atomic-decomposition --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/atomic-decomposition .gemini/skills/atomic-decomposition && 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 "atomic-decomposition" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/atomic-decomposition into .gemini/skills/atomic-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atomic-decomposition", 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 lingzhi227/agent-research-skills atomic-decompositionInstalls 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 lingzhi227/agent-research-skills --skill atomic-decomposition -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/atomic-decomposition .github/skills/atomic-decomposition && 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 "atomic-decomposition" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/atomic-decomposition into .github/skills/atomic-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atomic-decomposition", 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 lingzhi227/agent-research-skills --skill atomic-decomposition -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lingzhi227/agent-research-skills atomic-decomposition --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/atomic-decomposition .opencode/skills/atomic-decomposition && 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 "atomic-decomposition" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/atomic-decomposition into .opencode/skills/atomic-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atomic-decomposition", 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.
atomic-decompositionDecompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping.
Atomic Decomposition is an agent skill from lingzhi227/agent-research-skills. Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. For each concept, extract the math formula from papers and find code implementations. Use for complex system papers requiring formal grounding.
Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/decomposition-prompts.md`).
It sits in Research & Science, covering Hypothesis generation. The repository describes itself as: Skills for Claude Code — deep-research: systematic academic literature review.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9e6c085. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Atomic Decomposition loads about 712 tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 242 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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 242 words (~712 tokens).
“Decompose research ideas into atomic concepts with math formula <-> code implementation mapping.”
SKILL.md and 1 other file (references) in skills/atomic-decomposition of lingzhi227/agent-research-skills.
Open the folder on GitHubat commit 9e6c085
Atomic Decomposition 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 |
|---|---|---|---|---|---|---|
| Atomic Decomposition this skilllingzhi227/agent-research-skills | 386 | — | ~712 | Automated safety check: Pass | None | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Hypothesis GenerationK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Good QuestionRimagination/good-question | 305 | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| High Stakes Analytics Decision Lablimingrui679-design/high-stakes-analytics-decision-lab | 1k | — | ~2.2k | Automated safety check: Pass | MIT |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
K-Dense-AI/claude-scientific-writer
Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready…
Rimagination/good-question
A skill your agent uses when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled…
limingrui679-design/high-stakes-analytics-decision-lab
Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions.
zjYao36/Auto-Research-Refine
Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.
lingzhi227/agent-research-skills
Makes each number in a LaTeX paper link back to the code line that produced it, using hypertarget and hyperlink tags and compile-time `\num` formulas.
lingzhi227/agent-research-skills
Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.
lingzhi227/agent-research-skills
Draws and refines Excalidraw diagrams on a live canvas through MCP tools or a REST API, with screenshots, file import and export, snapshots and Mermaid conversion.
lingzhi227/agent-research-skills
Plans research experiments in four progressive stages, from a first working implementation through baseline tuning and creative research to ablation studies.
lingzhi227/agent-research-skills
Generates publication-quality scientific figures with matplotlib or seaborn through query expansion, a run-and-retry coding loop and a visual check of the rendered PNG.
lingzhi227/agent-research-skills
Generates and iteratively refines research ideas for a given area, checking each one's novelty against Semantic Scholar and arXiv, and scoring it on interestingness, feasibility and novelty.
Categories
Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. Atomic Decomposition is an agent skill from lingzhi227/agent-research-skills. Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping.
Atomic Decomposition fits situations like: complex system papers requiring formal grounding; tasks that involve Hypothesis generation.
Run `npx skills add lingzhi227/agent-research-skills --skill atomic-decomposition -a claude-code`. Or copy the skill folder (skills/atomic-decomposition in lingzhi227/agent-research-skills) into .claude/skills/atomic-decomposition in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lingzhi227/agent-research-skills --skill atomic-decomposition -a codex`. Or copy the skill folder (skills/atomic-decomposition in lingzhi227/agent-research-skills) into .agents/skills/atomic-decomposition in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lingzhi227/agent-research-skills --skill atomic-decomposition -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/atomic-decomposition, .gemini/skills/atomic-decomposition, .github/skills/atomic-decomposition and .opencode/skills/atomic-decomposition in your project.
SKILL.md names no scripts, command-line tools or credentials: Atomic Decomposition is instructions for the agent only.
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.
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.
No licence was found for Atomic Decomposition or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 712 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Atomic Decomposition: Hypothesis Generation (spacering-net/codeg, 3.9k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Hypothesis Generation (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Good Question (Rimagination/good-question, 305 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lingzhi227 (a GitHub user) maintains it in lingzhi227/agent-research-skills, which has 386 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on February 27, 2026.
Source: lingzhi227/agent-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.