nagisanzenin

[production-grade internal] Reviews code for quality — architecture conformance, anti-patterns, performance issues, maintainability. Read-only analysis, never modifies code. Routed via the production-grade orchestrator.

[production-grade internal] Optimizes AI/ML/LLM usage when you need model selection, prompt engineering, cost reduction, or experiment design. Routed via the production-grade orchestrator.

[production-grade internal] Sets up deployment and infrastructure — Docker, CI/CD pipelines, cloud provisioning, environment configuration. Routed via the production-grade orchestrator.

[production-grade internal] Builds web frontends — React/Next.js components, pages, design systems, state management, typed API clients. Routed via the production-grade orchestrator.

[production-grade internal] Thinking partner when you're unsure what to build or how — explores ideas, researches options, helps decide before committing to code. Routed via the production-grade orchestrator.

[production-grade internal] Turns product ideas and business goals into formal requirements — BRD, user stories, acceptance criteria, prioritization. Routed via the production-grade orchestrator.

The build half of the Blackbox Protocol — a vendored fork of production-grade. Delivers production-ready systems: constraint-driven architecture, tested code, security audit, CI/CD, documentation, adversarial review, and the v5.5 loop engine. DISPATCHED BY…

[production-grade internal] Writes and runs tests when you want to verify code works — unit, integration, e2e, performance, contract testing. Routed via the production-grade orchestrator.

Use when the user wants to build, create, or develop anything — websites, apps, APIs, services, platforms. This skill enhances your coding agent from producing raw code into delivering production-ready systems: architecture docs, API contracts, tested…

[production-grade internal] Reviews code for quality — architecture conformance, anti-patterns, performance issues, maintainability. Read-only analysis, never modifies code. Routed via the production-grade orchestrator.

[production-grade internal] Optimizes AI/ML/LLM usage when you need model selection, prompt engineering, cost reduction, or experiment design. Routed via the production-grade orchestrator.

[production-grade internal] Sets up deployment and infrastructure — Docker, CI/CD pipelines, cloud provisioning, environment configuration. Routed via the production-grade orchestrator.

[production-grade internal] Builds web frontends — React/Next.js components, pages, design systems, state management, typed API clients. Routed via the production-grade orchestrator.

[production-grade internal] Thinking partner when you're unsure what to build or how — explores ideas, researches options, helps decide before committing to code. Routed via the production-grade orchestrator.

[production-grade internal] Turns product ideas and business goals into formal requirements — BRD, user stories, acceptance criteria, prioritization. Routed via the production-grade orchestrator.

[production-grade internal] Writes and runs tests when you want to verify code works — unit, integration, e2e, performance, contract testing. Routed via the production-grade orchestrator.

[production-grade internal] Reviews code for quality — architecture conformance, anti-patterns, performance issues, maintainability. Read-only analysis, never modifies code. Routed via the production-grade orchestrator.

[production-grade internal] Optimizes AI/ML/LLM usage when you need model selection, prompt engineering, cost reduction, or experiment design. Routed via the production-grade orchestrator.

[production-grade internal] Sets up deployment and infrastructure — Docker, CI/CD pipelines, cloud provisioning, environment configuration. Routed via the production-grade orchestrator.

[production-grade internal] Builds web frontends — React/Next.js components, pages, design systems, state management, typed API clients. Routed via the production-grade orchestrator.

[production-grade internal] Thinking partner when you're unsure what to build or how — explores ideas, researches options, helps decide before committing to code. Routed via the production-grade orchestrator.

[production-grade internal] Turns product ideas and business goals into formal requirements — BRD, user stories, acceptance criteria, prioritization. Routed via the production-grade orchestrator.

Use when the user wants to build, create, or develop anything — websites, apps, APIs, services, platforms. This skill enhances Claude Code from producing raw code into delivering production-ready systems: architecture docs, API contracts, tested…

[production-grade internal] Writes and runs tests when you want to verify code works — unit, integration, e2e, performance, contract testing. Routed via the production-grade orchestrator.

Run exactly one strictlybetter cycle: read the brief, pre-register a batch, spawn tiered experimenters into worktrees, submit, screen-measure, judge, blind-judge, confirm, accept or discard, record cost, distill on schedule. Use when a campaign is running and…

Show the strictlybetter campaign state: status line, the cold-start brief, and the budget counters, all quoted from the engine. Use when the user asks how the campaign / research loop is going, what is left, or what the next batch looks like.

Universal research loop: orient on this repo, discover metrics, run pre-registered experiments, keep only strictly-better changes. Use when the user wants the repo/project improved automatically, mentions strictlybetter, a research loop, autoresearch,…

Run the strictlybetter meta-benchmark: the walled loop against a naive loop on fixture repos, reporting false-accept rate and cost per accepted improvement. Use when the user asks to benchmark, validate, or compare strictlybetter itself (not the target…

Distill the strictlybetter ledger now: run the engine's plateau/bandit/false-promotion statistics, spawn the distiller to rewrite the inheritance body, store it, show the decision. Use when the user asks what the loop has learned, wants the inheritance body…

Discover and instrument metrics for strictlybetter: spawn the metrologist, add the cards, measure the noise floor (sigma) with repeated runs, probe monotonicity, demote what fails. Use when a profile exists but no baselined metric cards do, or the user wants…

Orient strictlybetter on this repository: spawn the orienteer once, verify build/test/lint/bench commands by running them, store the profile. Use when strictlybetter has no profile yet, the toolchain changed, or the user asks to re-orient / refresh the…

Stop the strictlybetter loop at the next safe point by writing the STOP file; the Stop hook no longer continues the campaign. Use when the user says stop, pause, halt, or 'enough' about the research loop or campaign.

Write a social post in one of the roster's voices (or the user's own `self` voice) — platform-native, craft-floored, scanner-verified. Use when the user wants a post, caption, announcement, reply, or any short-form text written as a distinct human voice.

One brief, N posts, N genuinely different people — voice-isolated writers, cross-post overlap detection, per-post verification receipts. Use for launching/promoting something across multiple posts or platforms without the posts sharing a fingerprint.

Two-layer AI-tell audit of any text — deterministic scanner (lexicon, constructions, stylometry with line numbers) plus a blind semantic judge. Use when the user wants to know whether text reads AI-generated, what specifically gives it away, and how to fix it.

Rewrite existing text so it reads human — either scrubbed-and-souled in its own register, or fully re-voiced as one of the roster's people. Use when the user has a draft that "sounds like AI" or wants existing copy converted into a specific voice.

Front door and router for the idiolect voice engine. Use when the user mentions idiolect, asks what voices are available or who should write something, wants writing that "doesn't sound like AI", says text "sounds like ChatGPT/AI slop", or asks for…

Build and maintain the user's OWN voice profile from continuously captured writing plus explicit samples — status, build/refresh, add samples, capture on/off. Use when the user wants posts in their own voice, wants to see what's been learned about their…

Create a new voice profile — from a writing corpus (measured, not vibed), or invented to fill a gap in the roster. Extends the roster beyond the 60+ built-ins. Use when the user wants a new/custom voice, a voice "like these samples", or a voice the roster…

Front door and router for seed-protocol — the goodness-based project discernment engine. Use when the user mentions seed-protocol or seeds, wants to find/brainstorm/vet/plan a future project that is genuinely good for people, asks "what should I build", "is…

Brainstorm goodness-based project ideas with the user — a structured ideation session that starts from service (who is hurting, who do you already serve) rather than opportunity, generates candidate seeds, rough-vets each through the four gates, and plants…

Turn a vetted PLANT seed into a charter — the First Twelve, the Minimal Loving Version, the never-list with a structural guard, the carrier moment, and an honest announcement plan. Use when the user wants to plan, start, or charter a seed that passed the vet,…

Deep-vet one project idea through the four gates (CREATES/HONEST/SERVES/ENDURES) with a deliberately blind vetter agent, deliberate the result with the user, deliver a PLANT/RESHAPE/REFUSE verdict, and breed the honest twin when refusing. Use when the user…

Learning telemetry, strategy, and schedule — retention stats, calibration, grader audit, n-of-1 experiments, HTML dashboard. Use for "how am I doing", weekly check-ins, strategy questions, auditing the grader, or adjusting how Engram teaches.

Learn any topic properly — first-principles curriculum, generation-first tutoring, verified free recall, FSRS scheduling. Use when the user wants to learn, understand, study, or continue studying something.

Clear due memory reviews with free recall — the two-minute habit that makes learning permanent. Use when reviews are due, or the user wants to review, practice, or "do my engram reviews".

Decompose a request into subtasks, classify each by difficulty (T1 mechanical through T4 hard reasoning, plus R-research and C-coding), and dispatch each to the cheapest calibrated reasoning-effort tier a blind grader still accepts. Use when you want a…

Drive the effortmining A/B benchmark harness, the deterministic Python core (bench/effort.py) that measures pass-rate and token cost per (task-class, effort-tier) and fits the calibration table the effortmine skill dispatches from. Use to validate the…

Use when the user wants to build, create, or develop anything — websites, apps, APIs, services, platforms. This skill enhances Claude Code from producing raw code into delivering production-ready systems: architecture docs, API contracts, tested…

Playbook for building and maintaining omni-platform agent plugins (one repo, native installs on Claude Code, Codex, OpenCode, Hermes, Antigravity, Gemini CLI, and more). Use when creating a plugin meant for more than one platform, porting an existing plugin…

Create, revise, review, resume, and optionally publish narrated mathematical animation videos with local Manim and speech tools. Use for math explainers, visual proofs, educational Shorts, and existing MathTuber projects.

Run a scientific study that is actually SOLID — pre-registered, adequately powered, and blind-judged — so the conclusion is defensible and whatever you build on top of it isn't built on sand. Use when the user wants to run an experiment, A/B test, ablation,…