Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
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Ultra-compressed response style that reduces output token count while preserving technical accuracy, with intensity levels and auto-clarity safety rules
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Caveman is an opt-in response style that reduces output verbosity while keeping technical content fully intact. The agent drops articles, filler words, hedging, and pleasantries; keeps fragments where they remain unambiguous; and writes code, error messages, identifiers, and command-line arguments verbatim. Use it when the user explicitly requests a terser response.
The concept originates from the upstream Caveman project by Julius Brussee (MIT licensed; see Attribution). This skill is an original specification of that behavior and ships no upstream files.
Caveman has no out-of-band state store, daemon, or hook. Persistence relies entirely on the conversation transcript:
/caveman ultra, "use caveman", and similar) stays visible in chat history.caveman/SKILL.md the next time an active directive appears.State lives in chat, not in a file. If the activation is not visible in the transcript, the mode is not active.
Activate Caveman when the user asks for it directly:
/caveman or /caveman <level> where <level> is one of lite, full, ultra, wenyanDo not activate on generic brevity requests such as "be brief", "less tokens", "terser output", or "save tokens". Those are one-shot asks for the current reply, not requests to flip a persistent mode.
Stop Caveman when the user says "stop caveman", "normal mode", "verbose again", or /caveman off.
| Level | Behavior |
|---|---|
lite | Drop filler and hedging. Keep articles and full sentences. |
full (default) | Drop articles. Sentence fragments allowed. Short synonyms. |
ultra | Telegraphic. One-word answers when sufficient. Arrows for flow. |
wenyan | Classical Chinese (文言) register layered on full compression. |
If the user requests /caveman without a level, default to full. /caveman wenyan applies the wenyan register at full compression. Combine with another level for stronger compression, e.g. /caveman wenyan ultra.
Always drop:
Always keep, exact and unmodified:
Pattern: [thing] [action] [reason]. [next step].
Switch off Caveman automatically — without being asked — when any of the following apply, then resume after the section ends:
Code, commits, pull request bodies, and release notes are always written in normal style regardless of mode.
Normal: "I'd be happy to help! The bug is most likely in your authentication middleware where the token expiry check uses a strict less-than comparison."
Caveman (full): "Bug in auth middleware. Token expiry check uses < not <=. Fix:"
Caveman (ultra): "Auth bug. < → <=. Fix:"
Concept based on the Caveman project (MIT license, Copyright (c) 2026 Julius Brussee). This SKILL.md is an original specification authored for hve-core; no upstream files are redistributed.
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Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
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Build, refresh, report, or probe an accessibility coverage matrix across criteria, surfaces, and evidence methods. Use when assessing coverage with the accessibility runtime harness and generated evidence bundle.
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Authoring skill for Architecture Decision Records (ADRs) supporting capture, from-planner-handoff, and adopt-template entry modes with selectable Y-Statement or MADR v4.0.0 output templates, supersession lineage, and ASR trigger evaluation.
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Authoring conventions for exploratory data analysis notebooks and analytical dashboards, covering section sequence, visualization selection, scale thresholds, caching and state, and dashboard validation budgets. Use when composing or reviewing an EDA notebook, an analytical dashboard, or a dashboard test pass.
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Architecture diagram authoring for cloud infrastructure and declared data catalogs. Use when rendering Azure IaC or DS_CATALOG_V1 relationships as caller-selected ASCII or Mermaid diagrams.
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Create a durable Architecture Review Record from a confirmed System Architecture Reviewer scope, evidence, pillar analysis, trade-offs, and dispositions
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