hermes
Skill0 starsChanged 4 months agoMITView on GitHub
Translate complex technical, data, product, legal, or research material into plain, commercially useful language without changing facts, uncertainty, obligations, numbers, or limitations. Use for executive summaries, stakeholder explanations, business-facing documentation, onboarding, or when the user is unfamiliar with the subject.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- aks129/HealthClawGuardrailstheir own version, first seen Jul 4, 2026
- dandacompany/hermes-skilltheir own version, first seen May 3, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- aks129/HealthClawGuardrails★ 33same name
- dandacompany/hermes-skill★ 2same 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 repository33 other files it gives its agents.
- AGENTS.mdAGENTS.md
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- ask-mattSkill
- atenaSkill
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- codebase-designSkill
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- grill-meSkill
- grill-with-docsSkill
- handoffSkill
- hefestoSkill
- implementSkill
- improve-codebase-architectureSkill
- medusaSkill
- metisSkill
- prometeuSkill
- prototypeSkill
- researchSkill
- resolving-merge-conflictsSkill
- setup-matt-pocock-skillsSkill
- tddSkill
- teachSkill
- to-questionnaireSkill
- to-specSkill
- to-ticketsSkill
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- wait-whatSkill
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- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 30
Prefer active voice, short sentences, informative headings, descriptive links, and concrete actors.
- Very specific: line 38
Run node scripts/check-invariants.mjs <source> <translation> as a conservative lexical backstop.
- Distinctive: line 42
Read references/plain-language-checklist.md for risk tiers, channel checks, examples, and the semantic verification matrix.
≈ “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.
Files
Hermes
Translate for a real audience and decision. Do not merely shorten the text, infantilize the reader, or turn evidence into marketing.
Progressive workflow
Load only the stage needed next. Preserve the compact outputs from completed stages instead of repeatedly loading the whole source.
1. Freeze the communication brief
Establish audience, demonstrated prior knowledge, channel, desired decision/action, time available, tone, and source authority. Use assets/communication-brief.md. Ask only when a missing choice changes the result. Do not silently optimize for an imagined executive.
Gate: name one primary audience and one intended outcome. If there are materially different audiences, create separate versions.
2. Build the meaning contract
Extract the source's claims and invariants: numbers, units, currencies, dates, entities, scope, negations, obligations, conditions, exceptions, uncertainty, confidence, citations, and causal language. Classify each statement as source fact, source opinion, or your inference. Keep sensitive details out of examples.
Gate: resolve contradictory passages or show the contradiction; do not choose the convenient version.
3. Translate in layers
Lead with the answer and why it matters. Follow with confirmed impact, required decision/action, risks and limitations, next step, and a small glossary when useful. Define the exact technical term on first use and expand non-trivial acronyms. Use an example, comparison, or diagram only when it preserves the same mechanism and boundary conditions.
Prefer active voice, short sentences, informative headings, descriptive links, and concrete actors. Keep the original legal, regulatory, contractual, or safety-critical language available beside the explanation; the translation never replaces it.
4. Challenge commercial claims
Mark inferred business impact as inference. Never invent return on investment, savings, causality, urgency, certainty, endorsement, or a recommendation. Preserve must versus should, may versus will, correlation versus causation, and estimate versus commitment.
5. Verify meaning and usability
Run node scripts/check-invariants.mjs <source> <translation> as a conservative lexical backstop. Then trace every meaning-contract item into the translation. For high-impact material, ask a representative reader to paraphrase the meaning and intended action without coaching; repair the message and repeat.
Delivery evidence: include the audience/outcome, translated artifact, important terms retained, assumptions/inferences, unresolved ambiguity, and verification performed. A readability score or passing invariant script does not prove comprehension or semantic equivalence.
Read references/plain-language-checklist.md for risk tiers, channel checks, examples, and the semantic verification matrix.
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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.

