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ai-native-development
Use when reasoning about agent autonomy levels, designing auto-improve loops, evaluating AI-generated code quality, or measuring agent productivity in an LLM-assisted codebase. Covers Karpathy's three eras of software (1.0 explicit / 2.0 learned / 3.0 natural-language), the vibe-coding-vs-agentic-engineering distinction, the 0–5 autonomy slider with task-type recommendations, the one-asset / one-metric / one-time-box AutoResearch loop, Software 3.0 productivity metrics, and the documented quality regressions of ungated AI-generated code (the 'vibe hangover'). Do NOT use for choosing a specific autonomy-loop topology (use `agent-engineering`), for the per-prompt authoring discipline (use `prompt-craft`), or for reviewing the AI-generated code that comes out of a Software 3.0 workflow (use `code-review`).
6color-system-design
Use when designing a color system — palette construction, semantic color tokens, WCAG contrast ratios, perceptual uniformity in OKLCH/LCH, and light/dark mode parity. Do NOT use for single brand-color picks, runtime theme-switching mechanics, or non-color design tokens.
6skill-router
Use when routing an agent request across multiple skills, building or auditing a routing table, detecting routing coverage gaps, or answering questions like 'which skill handles this?', 'who routes X?', or 'why did skill A activate instead of B?'. Covers trigger-label matching, file-path matching, keyword matching, description-based semantic matching, scope/type tiebreakers, and coverage-gap detection. Do NOT use when the target skill is already known (load it directly), when authoring a new skill (use `skill-metadata-template` instead), or when evaluating a SINGLE skill's quality (use `graph-audit`).
6skill-infrastructure
Use when designing the deterministic health-tooling layer for a skill library, diagnosing why an existing library is decaying invisibly, deciding which categories of automated check to add (inventory, protocol consistency, conflict detection, routing health, drift sentinel), debugging eval-threshold violations across many skills at once, or auditing whether a skill-system has the safety nets a production library needs. Covers the five categories of skill-health tooling, the library-as-database mental model, eval quality patterns (minimum thresholds, contradiction-check pattern, negative-expectation requirement), maintenance workflows triggered by batch skill changes, and the anti-patterns that cause skill libraries to decay until agents loading them get worse over time. Do NOT use for authoring an individual SKILL.md (use `skill-scaffold`), for running the conformance audit on the Skill Graph repo itself (use `graph-audit`), or for general lint rule selection across a codebase (use `lint-overlay`).
6summarization
Use when condensing prose while preserving meaning: session findings, wrap reports, research briefs, executive summaries, TLDRs, agent handoffs, progressive summaries, audit summaries, and long-document distillation. Covers extractive vs abstractive summarization, what to keep vs drop, evidence preservation, summary levels, handoff summaries, and audit-report condensation without hiding findings. Do NOT use for byte/data compression algorithms (use `compression`), context-window budget math or compaction triggers (use `context-window`), working-set selection (use `context-management`), prose tone repair (use `writing-humanizer`), or quality scoring (use `evaluation`).
3mobile-responsive-ux
This skill provides mobile-specific UX patterns for SaaS dashboards: touch-friendly targets (44px minimum), thumb-zone optimization, swipe gestures, condensed data display, bottom navigation, and pull-to-refresh. Load when designing for mobile users, implementing touch interactions, building responsive dashboard layouts, or optimizing for the Side Hustler persona who checks on mobile.
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