honest-technical-oratory
Skill9 starsChanged 4 months agoLicence not identifiedView on GitHub
Present a technical project out loud, under a real time limit, to an audience that may not share your vocabulary or technical background — without hyping unearned claims, without opening on caveats, and without inventing an answer live rather than saying "I don't know." Use whenever preparing or delivering a pitch, demo, talk, or hackathon presentation; whenever deciding what goes on a slide versus what stays for Q&A; or whenever a draft pitch either overclaims or buries its own value under limitations. Trigger on "pitch", "demo day", "hackathon presentation", "how should I present this", "prepare a talk", "what goes on the slides", "practice the pitch", "judges asked". Governs the live, time-boxed, spoken medium — readme-architecture governs the written document a reader consults on demand; daubert-defensible-writing's claim discipline still applies here, just under the constraint that there is no room to attach a footnote in real time.
In this repository91 other files it gives its agents.
- abductive-engineeringSkill
- acquisition-order-of-volatilitySkill
- agent-trust-boundariesSkill
- alert-triage-economicsSkill
- assume-breach-modelingSkill
- atomic-state-mutationSkill
- attack-surface-triageSkill
- audit-before-patchSkill
- authorization-surface-mappingSkill
- beyond-the-fixSkill
- beyond-the-sinkSkill
- claim-provenance-disciplineSkill
- client-side-trust-boundarySkill
- cloud-architecture-selectionSkill
- cloud-control-plane-reasoningSkill
- codebase-health-assessmentSkill
- concurrency-reasoningSkill
- container-trust-boundarySkill
- containment-under-uncertaintySkill
- control-effectiveness-vs-existenceSkill
- credential-material-triageSkill
- crypto-misuse-reasoningSkill
- data-leakage-huntingSkill
- data-provenance-mappingSkill
- daubert-defensible-writingSkill
- debt-closure-disciplineSkill
- deception-signal-qualitySkill
- decision-record-disciplineSkill
- dependency-provenanceSkill
- destination-driven-constructionSkill
- detection-engineeringSkill
- deterministic-coreSkill
- diagnosing-bugsSkill
- discriminating-proofSkill
- distributed-write-atomicitySkill
- dont-fall-in-love-with-the-bugSkill
- dual-use-behavior-adjudicationSkill
- exploitability-triageSkill
- falsifiable-testingSkill
- finding-custodySkill
- forensic-logging-designSkill
- forensic-persistenceSkill
- frontend-accessibility-by-constructionSkill
- frontend-component-boundariesSkill
- frontend-performance-budgetsSkill
- frontend-testing-strategySkill
- git-disciplineSkill
- honest-degradationSkill
- hypothesis-driven-huntingSkill
- incident-timeline-reconstructionSkill
- intel-source-evaluationSkill
- invariant-huntingSkill
- irreversible-action-gateSkill
- known-defect-dispositionSkill
- language-selectionSkill
- live-contract-compatibilitySkill
- llm-out-of-the-loopSkill
- model-evaluation-disciplineSkill
- non-overwhelming-uxSkill
- oracle-driven-fuzzingSkill
- The first 60 shown.
The file
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.