caveman-help
Quick-reference card for caveman modes, skills, and commands with one-shot display.
junior-to-senior
Adversarial senior-engineer review for agent-generated plans, designs, and architectures. Treats the current output as junior work, constructs a senior reviewer whose domain expertise comes from live codebase research plus web research of current best practices, diagnoses altitude failures (too vague or too granular), then rewrites the plan into a scoped, state-of-the-art version. Use when the user says "junior to senior", "senior review", "review this like a staff engineer", when a plan feels hand-wavy or lost in details, or before committing to any agent-written plan.
Full skill instructions
Assume the plan in front of you was written by a capable junior: fluent, confident, and trained on the past. Build a senior reviewer that is grounded in two things the junior was not — this codebase as it actually exists and the state of the art as it exists today — and let the senior tear the plan down and rebuild it.
This skill exists because agent-generated plans fail at two altitudes:
Both are altitude failures. The senior's job is to drag the plan to the right altitude and upgrade its substance past the model's training cutoff.
Every senior finding needs evidence. A claim about the codebase cites a file and line. A claim about best practice cites a fetched source — official docs, release notes, an RFC, a postmortem — with a date. If web research is unavailable, the finding is labeled [training-data, unverified] so stale knowledge is never laundered as current truth. A senior who argues from vibes is just a louder junior.
Identify exactly what is under review:
Freeze it. Quote or restate the artifact in full before reviewing so the review targets a fixed text, not a moving memory of it. If there is no artifact yet, say so and offer to either generate the junior draft first or review the user's existing idea — do not review thin air.
The senior is not a tone of voice. It is a reviewer profile built from research done now. Skipping this phase and going straight to critique produces generic review slop.
List the 2-5 load-bearing technical domains the plan touches (e.g., "Postgres schema migration", "React server components", "OAuth token refresh", "vector search at 10M rows"). For each, write one sentence on what a staff-level engineer in that domain would refuse to let slide. This list drives all research that follows.
Investigate the repository before judging the plan against it:
Use a subagent (e.g. Explore) for broad sweeps so the review context stays clean.
For each load-bearing decision in the plan, search for the current state of the art. The junior's knowledge ends at a training cutoff; the senior's must not. Prioritize primary sources (official docs, changelogs, release notes, maintainer posts) and check dates. You are looking for three kinds of delta:
Query patterns, source-quality ranking, and when to stop are in references/research-playbook.md. If web access is unavailable, proceed on code research alone and mark every best-practice claim [training-data, unverified].
When the harness supports subagents, run the senior review in a context-isolated subagent that receives the frozen artifact and the research findings but not the reasoning that produced the junior plan. Self-review in the same context anchors on its own justifications; isolation is what makes the review adversarial rather than confirmatory.
Before line-by-line critique, classify the artifact: fog, tunnel, or mixed (most real plans fog the hard parts and tunnel on the easy ones — flag each section separately).
Fog test — for every component the plan names, can a competent engineer start tomorrow without making a product or architecture decision themselves? Tunnel test — does the plan state who this is for, what success looks like, what is explicitly out of scope, and why this approach beat the obvious alternative?
The full diagnostic checklists, the vague-word blacklist ("simple", "scalable", "handle gracefully", "robust", ...), and severity definitions are in references/review-rubric.md.
The senior reviews the frozen artifact against three lenses: codebase reality (1b), current state of the art (1c), and altitude (Phase 2). Rules of engagement:
Findings use three severities — blocker (plan fails as written), major (works but meaningfully worse than SOTA or misfit to the repo), minor (polish) — each with evidence and a concrete fix. Definitions and examples: references/review-rubric.md.
Critique without a rewrite is just complaining. Produce the senior version of the plan with this shape:
Deliver two artifacts, review first:
## Senior Review
**Altitude diagnosis:** fog | tunnel | mixed — one-sentence justification.
### Blockers
- [B1] Finding — evidence (file:line or source+date) — fix.
### Major
- [M1] ...
### Minor
- [m1] ...
### What the junior got right
- Credit where due; preserved in the rewrite.
## Promoted Plan (v2)
[Phase 4 structure]
## Delta summary
- 3-6 bullets: what changed from junior to senior and why.
## Open questions for you
- Product decisions that need a human.
Quick-reference card for caveman modes, skills, and commands with one-shot display.
Delegate code tasks to compressed subagents that shrink context by ~60% per delegation.
Real token usage and estimated savings metrics from your Claude Code session log.
Compress natural language memory files into caveman-speak to reduce input tokens.
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
caveman
build
spec
check
backprop
Calibrated grilling session for stress-testing a plan, design, idea, or decision. First assesses the user's topic knowledge, confidence, and desired pressure level, then asks one question at a time with recommended answers. Use when user says "grill me", "stress-test this", "challenge my plan", "interview me", or wants a plan probed without being overwhelmed.
Authoritative guide for implementing stunning, accessible, performant UI. Synthesizes design engineering philosophy, accessibility standards, animation principles, spatial design, typography, color systems, and component craft into a single actionable reference. Complements the design-system skill (which covers DESIGN.md spec writing) by covering the HOW of implementation. Trigger phrases: "build UI", "create component", "landing page", "make it look good", "frontend", "design", "polish UI", "implement design", "make it beautiful", "UI implementation", "component styling", "animation", "accessibility"
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