mcpbeat

0xwilliamortiz Skills

19 skills published by 0xwilliamortiz across 5 repositories. Together they weigh 1 249 950 tokens — that is what loading all of them at once would cost you in context.

19 skills 1 249 950 tokens total

Ratchet
ratchet

> Enforces a measured complexity budget on coding work. Reaches for the standard library, native platform features and code that already exists in the repository before writing anything new, and treats every added dependency, file and line as a cost that has to be justified. A hook measures the real diff and reports overruns back mid-task, so the budget is fixing, reviewing, choosing libraries, or designing an interface. Use it whenever the user says "ratchet", "keep it minimal", "simplest thing that works", "yagni", "don't over-engineer", "smallest diff", or complains about bloat, boilerplate, scaffolding or dependency creep. Do not use it for non-coding requests.

2k tokens
Ratchet Ledger
ratchet

> ledger at .ratchet/ledger.jsonl, the accepted complexity mark, and every upgrade trigger. Use when the user says "ratchet ledger", "/ratchet-ledger", "what did we defer", "show the complexity trend", "what shortcuts are in here", or asks whether the codebase is getting simpler or more complex over time. Reports real recorded numbers only, never estimates.

550 tokens
Ratchet Review
ratchet

> Reviews a diff or a whole repository for over-engineering only, and returns a delete list rather than prose. Finds reinvented standard library calls, dependencies the platform already covers, abstractions with one implementation, wrappers that only forward, configuration nothing reads and dead flexibility. Use whenever the user says "review for over-engineering", "what can we delete", "is this over-engineered", "find the bloat", "audit this repo", or invokes /ratchet-review. Pair it with a normal correctness review, it deliberately does not look for bugs.

760 tokens
Agent Council
agents-council

Collect and synthesize opinions from multiple AI agents. Use when users say "summon the council", "ask other AIs", or want multiple AI perspectives on a question.

418k tokens scripts
Ponytail Audit
ponytail-improved

Audit the whole repo for over-engineering. A ranked list of what to delete, simplify, or replace with stdlib or native features.

358 tokens
Ponytail Debt
ponytail-improved

Harvest every ponytail: shortcut comment into one debt ledger, so deferrals get tracked instead of forgotten. One-shot report.

374 tokens
Ponytail Gain
ponytail-improved

Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the benchmark medians. One-shot display.

463 tokens
Ponytail Help
ponytail-improved

Quick reference for ponytail's modes, skills, and commands. One-shot display.

683 tokens
Ponytail Review
ponytail-improved

Review a diff for over-engineering. Finds what to delete: reinvented stdlib, needless deps, speculative abstractions. One line per finding.

529 tokens
Ponytail
ponytail-improved

Lazy senior dev mode for any coding task (write, refactor, fix, review): YAGNI, stdlib first, no unrequested abstractions. Not for non-coding requests.

1k tokens
Caveman
ponytail-improved

> Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman 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.

913 tokens
Ponytail Audit
ponytail-improved

> Whole-repo audit for over-engineering. Like ponytail-review, but scans the or replace with stdlib/native equivalents. Use when the user says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", "ponytail-audit", or "/ponytail-audit". One-shot report, does not apply fixes.

413 tokens
Ponytail Debt
ponytail-improved

> deliberate shortcuts and deferrals ponytail leaves behind get tracked instead of rotting into "later means never". Use when the user says "ponytail debt", "/ponytail-debt", "what did ponytail defer", "list the shortcuts", "ponytail ledger", or "what did we mark to do later". One-shot report, changes nothing.

425 tokens
Ponytail Gain
ponytail-improved

> cost, more speed, from the benchmark medians. One-shot display, not a "ponytail gain", "what does ponytail save", "show ponytail impact", "ponytail scoreboard".

493 tokens
Ponytail Help
ponytail-improved

> Quick-reference card for all ponytail modes, skills, and commands. "ponytail help", "what ponytail commands", "how do I use ponytail".

699 tokens
Ponytail Review
ponytail-improved

> reinvented standard library, unneeded dependencies, speculative abstractions, it. Use when the user says "review for over-engineering", "what can we delete", "is this over-engineered", "simplify review", or invokes /ponytail-review. Complements correctness-focused review, this one only hunts complexity.

595 tokens
Ponytail
ponytail-improved

> Forces the laziest solution that actually works, simplest, shortest, most task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).

403k tokens
Humanizer
humanizer-cli

| Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, passive voice, negative parallelisms, and filler phrases.

418k tokens
Karpathy Guidelines
andrej-karpathy-skills

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

629 tokens