derivation-step-checker
Skill5 starsChanged 29 days agoNo licenceView on GitHub
当手上有一份已经写好的推导、要逐步核验时使用。每一步查四件事：代数是否等价、量纲是否一致、符号有没有翻错、以及这一步用的定律在此处适用条件是否仍然成立——变质量、非惯性系、准静态假设中途被悄悄破坏是高频翻车点。scripts/check_derivation.py 做前三项的确定性检查，第四项是人的判断。只核验已有推导，不代写推导。
In this repository63 other files it gives its agents.
- ai-answer-triageSkill
- ai-code-onboarding-checklistSkill
- ai-diff-review-protocolSkill
- ai-generated-test-auditorSkill
- ai-output-fact-checkerSkill
- ai-session-handoff-writerSkill
- prompt-brief-builderSkill
- bento-infographicSkill
- event-venue-kitSkill
- keynote-deck-builderSkill
- launch-summary-panelSkill
- maestrwave-ui-systemSkill
- photo-spread-composerSkill
- radio-quote-cardSkill
- ui-design-system-builderSkill
- program-maturity-navigatorSkill
- latex-paper-formatterSkill
- model-critique-coachSkill
- modeling-assumption-builderSkill
- modeling-code-builderSkill
- modeling-problem-reading-coachSkill
- model-selection-tutorSkill
- paper-enhancement-builderSkill
- paper-structure-coachSkill
- team-role-coachSkill
- photo-caption-writerSkill
- photo-cinematic-gradeSkill
- photo-exif-frameSkill
- photo-poster-stylistSkill
- photo-series-layoutSkill
- shoot-outing-review-cardSkill
- answer-plausibility-checkerSkill
- competition-scenario-extractorSkill
- concept-to-formula-deriverSkill
- dataset-systematic-error-hunterSkill
- dimensional-analysis-checkerSkill
- fermi-estimation-coachSkill
- limiting-case-validatorSkill
- model-fit-auditorSkill
- numerical-stability-auditorSkill
- physics-mechanism-decomposerSkill
- physics-problem-routerSkill
- problem-formalization-coachSkill
- problem-representation-scoutSkill
- reference-frame-choice-guideSkill
- symbolic-first-discipline-coachSkill
- uncertainty-propagatorSkill
- skill-creatorSkill
- adversarial-lyric-writerSkill
- llm-midi-compositionSkill
- lyric-concept-builderSkill
- lyric-doctorSkill
- lyric-structure-mapperSkill
- activity-list-optimizerSkill
- activity-profile-builderSkill
- admissions-readerSkill
- application-timeline-builderSkill
- deadline-to-study-planSkill
- project-brainstormSkill
- reflection-interviewerSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 7 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
2
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 an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.