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I converted 16 user-invoked skills to commands. Skills cost ~150-300 tokens each per session for descriptions the model uses to auto-route. Commands cost nothing until you type the slash. These 16 are workflows I always trigger deliberately. The auto-routing wasn't earning its keep. This reclaims ~4-5k tokens per session.
Nine skills stayed where auto-routing genuinely helps: debug, root-cause-trace, five-whys, add-tests, frontend-design, humanizer, playwright-js, playwright-py, and pairwise-tests. Pairwise-tests stays a skill because its helper files don't fit a single-file command shape.
For arch-decide, I preserved the upstream MIT LICENSE alongside the command at .claude/commands/arch-decide.LICENSE so attribution stays intact.
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Distilled from NeoLab customaize-agent:prompt-engineering rubric (GPL-3.0
source; clean-room, no prose reused). ~17 KB NeoLab version trimmed to
tighter ~430 lines focused on what's genuinely non-obvious:
- Four prompt-type classification (discipline-enforcing / guidance /
collaborative / reference), with explanations for each so the user
knows what they're picking. Used in both design and critique modes.
- Seven persuasion principles (Meincke et al. 2025, Nā28,000), with
by-type matrix. Notably flags Liking as actively harmful for
collaborative prompts (breeds sycophancy in reviews/critiques).
- Degrees-of-freedom axis (high/medium/low) matched to task fragility.
- Context-window-as-shared-resource framing.
- Brief reference only for classical techniques (few-shot, CoT, system
prompts, templates) ā widely documented elsewhere, not re-taught.
- Explicit ethics test for persuasion use.
- Design-mode vs critique-mode workflows.
- Anti-patterns list covering sycophancy-by-default, hedging-on-
discipline-prompts, authority-stack-on-guidance, high-freedom-on-
fragile-tasks.
Landscape: no prompt-engineering skill exists in Anthropic's official
repo, wshobson/agents, or the major community skill collections. Real gap.
Makefile SKILLS extended; global symlink installed.
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