broomva

Explain the CONCEPTS a session used, at the operator's register, grounded in what actually ran. After an agent works, you are handed results built out of vocabulary you did not choose — primitive short-names, entity slugs, library names, terms of art from the…

Canonical reference inventory of the 85 agent skills in the broomva/skills monorepo, organized into 22 single-noun category buckets that mirror the skills/<category>/ directory layout, with a Remotion video showcase generator and X thread copy. Use when…

Universal knowledge engine — scores, promotes, and compounds knowledge across all sources into a permanent, query-able entity graph

Shop Tiendas D1 (Colombia, d1.com.co) from the command line — search the catalogue, resolve your nearest physical store, price a basket against that store's real stock, and quote delivery. D1 runs VTEX IO (account `d1tiendas`), so this drives its public…

Materialize and apply Broomva's platform-neutral calm blue-axis design system across digital products. Includes a portable DESIGN.md contract, semantic styling foundations, general React/web primitives, product-pattern and platform-adaptation guidance, and an…

Ingest, contextualize, and index curated resources (websites, tools, design references, research papers, UI kits) into a public GitHub Pages vault while automatically linking them to the local Knowledge Graph via /checkit and P6 bookkeeping. Dynamically…

Audit token usage and estimated API-equivalent cost across local agent harness traces from Codex CLI, Claude Code, Gemini CLI, and Cursor usage exports, plus quota-window status from a running Google Antigravity app, IDE, or CLI. Ships a read-only,…

Measure whether a codebase's verification actually touches the world, or whether it is checking itself. Keel gathers the verification edges it can read in a target (GitHub Actions, CircleCI, GitLab CI, Travis, package scripts, Makefile, Rakefile, pyproject…

Strategy & Decision Intelligence — 8 skills for personal productivity, strategic thinking, and decision-making. Pre-mortem risk analysis, braindump capture to Obsidian vault, morning briefings, priority drift detection, strategy red-teaming, multi-audience…

Run a premortem on any plan, launch, product, hire, strategy, or decision. Assumes it already failed 6 months from now and works backward to find every reason why. Produces a revised plan with blind spots exposed. MANDATORY TRIGGERS: 'premortem this',…

Captures a decision with context, alternatives considered, and rationale, then links it to the relevant project doc in the vault. Creates a searchable decision record. Use when the user says "decision log", "log this decision", "record this choice", "document…

Compares stated priorities against where time and effort actually went, and produces a strategy drift report. Uses git log, vault priorities, and project docs to detect misalignment. Use when the user says "drift check", "am I on track", "priority alignment",…

Reads open action items, this week's priorities, and recent vault updates, then produces a focused "start your day" brief. Use when the user says "morning briefing", "daily brief", "what's on my plate", "start my day", "what should I focus on today", or at…

Assumes a project has already failed, works backward to identify the top causes, scores them by likelihood and impact, and outputs a mitigation plan. Use when starting a new project, before a major launch, evaluating risky decisions, or when the user says…

Takes one set of project facts and generates three versions: technical for engineering, business-impact for leadership, and customer-facing for success teams. Use when the user says "stakeholder update", "write an update", "communicate this to different…

Scans the vault for updates from the past week, surfaces what changed, and flags what needs attention. Produces a structured weekly review. Use when the user says "weekly review", "week in review", "what happened this week", "weekly summary", "end of week…

Helps the user generate and pressure-test ideas or options for a decision, with honest tradeoffs rather than a wall of suggestions.

Explains a concept, error message, or code clearly and pedagogically, matched to the user's apparent level. Can read and search workspace files to ground the explanation in their actual code.

Onboards a new chat user — explains what the Life agent is, what it can help with (including reading, searching, and working in their workspace), and how to get the most out of a conversation.

Condenses text into a faithful, structured summary (TL;DR, key points, and any action items). Works on text pasted into the conversation or on files read from the workspace.

The general working agent — read, search, edit, and create files and run shell commands in the session workspace to actually carry out a task, not just talk about it. This is the blessed base toolset that other skills compose on top of.

Create and maintain a control-system metalayer for autonomous code-agent development in any repository. Use when you need explicit control primitives (setpoints, sensors, controller policy, actuators, feedback loop, stability and entropy controls), repo…

Reference for the `broomva` Rust CLI — manage prompts, skills, and context from the terminal or Claude Code sessions. Includes the auto-tracing protocol that turns this skill into the runtime dispatcher for broomva.tech/prompts. When a user asks to "use the X…

Skill: lazy-prefetch-pattern

Skill: react

Skill: trpc-patterns

Skill: typescript

Skill: ultracite

Umbrella skill package containing three complementary skills for persistent consciousness in autonomous AI agent development — control primitives and behavioral governance, agent consciousness architecture, and knowledge graph memory. Install individual…

Persistent consciousness architecture for autonomous AI agent development. Synthesizes three substrates — control metalayer (behavioral governance), Obsidian knowledge graph (declarative memory), and conversation log bridge (episodic memory) — into a…

Bridge Claude Code conversation logs to an Obsidian knowledge graph for persistent agent memory. Transforms .entire/ event logs and ~/.claude/ transcripts into searchable, wikilinked markdown docs with full conversation threads, tool call details, and session…

Create and maintain a control-system metalayer for autonomous code-agent development in any repository. Use when you need explicit control primitives (setpoints, sensors, controller policy, actuators, feedback loop, stability and entropy controls), repo…

Build or modify aiOS control-plane HTTP/SSE behavior. Use when changing apps/aios-api routes, request/response models, streaming/replay semantics, approval endpoints, or API compatibility guarantees.

Evolve core aiOS kernel behavior and contracts. Use when modifying crates aios-model, aios-events, aios-policy, aios-tools, aios-memory, aios-runtime, or aios-kernel, especially for event schema, lifecycle phases, capability checks, checkpoints, memory…

Prepare aiOS for production release and distribution. Use when hardening CI/CD, observability, security boundaries, packaging, deployment, rollback strategy, and operational readiness.

Agent-facing interface to the Lago knowledge substrate. Provides Karpathy-style wiki operations (ingest, search, read, write, lint, wake-up, query) on top of Lago's event-sourced, content-addressed filesystem.

Axum (Rust) web framework patterns for production APIs: routers/extractors, state, middleware, error handling, tracing, graceful shutdown, and testing

Detect unused dependencies in Rust projects for cleaner Cargo.toml files and faster builds. Use when auditing dependencies, optimizing build times, cleaning up Cargo.toml, or detecting bloat. Trigger terms: unused dependencies, cargo-machete, dependency…

AI feature development skill. Use when adding models, tools, providers, or streaming features to chatOS.

Deployment skill for chatOS. Use when deploying to Vercel, running DB migrations, or configuring environments.

Development workflow skill for the chatOS monorepo. Use when setting up, building, testing, or contributing to chatOS.

Implement OpenAI Harness Engineering practices in any repository — AGENTS.md, PLANS.md, deterministic smoke/test/lint harness commands, strict architecture boundaries, observability from day 1, and entropy-control audits for reliable autonomous agent runs.

Implement OpenAI Harness Engineering practices in any repository. Use when setting up or refactoring agent-first workflows, writing or upgrading AGENTS.md and PLANS.md, creating deterministic smoke/test/lint/typecheck harness commands, defining strict…

Rust orchestration engine for coding agents. Polls issue trackers (Linear, GitHub), creates isolated per-issue workspaces, and runs coding agent sessions with lifecycle hooks, retry/backoff, concurrency control, and a live HTTP dashboard. Includes control…

Expert guidance for Symphony — the Rust orchestration engine for coding agents. Use when users ask about installing Symphony (cargo install, curl|bash, docker), initializing projects (symphony init), configuring WORKFLOW.md for Linear or GitHub trackers,…

Run full workspace validation (format, lint, build, test)

Pre-release verification for crates.io publishing

Evaluator-Governed Recursive Improvement (EGRI) framework for turning ambiguous goals into safe, measurable, rollback-capable recursive improvement systems. Use when the user wants to: (1) build a self-improving system for any domain (ML, RAG, workflows, ETL,…

Evaluator-Governed Recursive Improvement (EGRI) framework for turning ambiguous goals into safe, measurable, rollback-capable recursive improvement systems. Use when the user wants to: (1) build a self-improving system for any domain (ML, RAG, workflows, ETL,…