research-codebase
Skill10 starsChanged 56 days agoNo licenceView on GitHub
Set up and maintain a research-experiment harness so experiments run fast and every paper number traces to one command. Use when starting a new project, running a sweep, aggregating runs into a paper table, or cleaning up a codebase that has become hard to navigate. Trigger on "how should I structure my code", "set up my project", "organize my experiments", "starting a new paper", "run all these configurations", "collect my results into a table", "my code is getting messy", "which run produced this number", or "I inherited this codebase". Built for researchers who are strong in the mathematics and weak in software: it fixes a pipeline contract up front so adding an experiment is one line in a list, never an edit to shared code. Not for designing the training loop itself (pytorch-training-recipe / jax-training-recipe), reproducing one paper's method (paper-to-code), choosing which experiment to run or diagnosing overfitting (experiment-design), or auditing a released artifact (reproducibility-audit).
9 other projects use a version of this.
Adopted by
Most recently taken up by
- lithammer/aitheir own version, first seen Oct 17, 2026
- charly-vibes/incitacionestheir own version, first seen Oct 14, 2026
- sipandey/create-agent-roomtheir own version, first seen Sep 26, 2026
- ConsolaDev/Consolatheir own version, first seen Sep 23, 2026
- atomicinnovation/acceleratortheir own version, first seen Sep 22, 2026
- liorhai5/ai-skillstheir own version, first seen Sep 7, 2026
Used with
Projects with it also use validate-plan, iterate-plan and 4 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
shawn-dumasSkillvalidate-plan
Validate an orchestration plan after pre-flight certification. Runs adversarial review, deep review (verify prompt data against codebase), and PoC gate for risky approaches. Auto-invoked by orchestrate-* skills at Step 8.
Also in 4 projects that use this
corticalstackSkilliterate-plan
Revise an existing implementation plan in flow/plans/ based on feedback, researching when needed. Explicit-only; run only when invoked via /iterate-plan or explicitly asked.
Also in 3 projects that use this
parcadeiSkilldescribe-pr
Generate comprehensive PR descriptions following repository templates
Also in 4 projects that use this
JasonPaffSkillimplement-plan
Execute implementation plan with structured tracking and validation using subagent architecture
Also in 4 projects that use this
JetBrainsSkillcreate-plan
Research the codebase and create an implementation plan with architecture notes, design document, and track decomposition. Use when starting a new feature or large change.
Also in 3 projects that use this
SentrySkillcommit
Create commit messages following Sentry conventions. Use when committing code changes, writing commit messages, or formatting git history. Follows conventional commits with Sentry-specific issue references.
Also in 4 projects that use this
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- atomicinnovation/accelerator★ 34same name
- joshuaalpuerto/mcp-agent★ 18same name
- ConsolaDev/Consola★ 1same name
- corticalstack/flow★ 1same name
- fabianmagrini/skills★ 1same name
- charly-vibes/incitaciones★ 0same name
- liorhai5/ai-skills★ 0same name
- lithammer/ai★ 0same name
- sipandey/create-agent-room★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository89 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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- apply-profile-readerSkill
- apply-program-fit-mapperSkill
- apply-program-theme-extractorSkill
- apply-recommendation-letter-strategistSkill
- apply-research-direction-mapperSkill
- apply-sop-writerSkill
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- banking-ai-literature-mapperSkill
- banking-use-case-discoverySkill
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- publication-grounded-solution-designSkill
- init-workspaceSkill
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- professor-criticSkill
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- deck-business-reportSkill
- abstract-and-intro-writerSkill
- discussion-report-synthesizerSkill
- figure-table-plannerSkill
- method-section-writerSkill
- paper-argument-plannerSkill
- research-proposal-writerSkill
- research-talk-plannerSkill
- results-writeupSkill
- cross-domain-analogy-finderSkill
- gap-finderSkill
- gap-motivation-builderSkill
- paper-idea-and-scope-brainstormerSkill
- research-idea-stress-testSkill
- jax-training-recipeSkill
- paper-to-codeSkill
- pytorch-training-recipeSkill
- citation-auditorSkill
- literature-triangulationSkill
- related-work-writerSkill
- survey-paper-writerSkill
- benchmark-and-baseline-selectorSkill
- experiment-designSkill
- hypothesis-and-ablation-plannerSkill
- model-eval-error-analysisSkill
- statistical-testing-guideSkill
- artifact-release-packagerSkill
- peer-review-writerSkill
- reproducibility-auditSkill
- reviewer-response-strategistSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 8 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 9 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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