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broomva

@broomva source repo

116 published skills · page 2 of 2

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    Claude Remote Sessions · broomva bundle
    Per-channel remote sessions for Claude Code via Discord and Telegram — each channel, thread, or chat gets its own isolated Claude Code session via tmux, with per-channel access control, project-specific workdirs, and automatic CLAUDE.md chain loading. Includes session managers, watchdog daemons (auto-respawn, auto-discover, stale cleanup), thread context injection, session resume, workdir mapping, and launchd boot persistence. Use when: (1) setting up per-channel Discord/Telegram sessions for Claude Code, (2) managing multiple sessions across messaging channels, (3) auto-discovering new channels or threads, (4) spawning thread sessions with parent conversation context, (5) keeping remote agent sessions alive, (6) cleaning up stale sessions, (7) setting up Telegram per-chat sessions. Triggers on 'remote sessions', 'discord sessions', 'telegram sessions', 'per-channel discord', 'discord watchdog', 'telegram watchdog', 'spawn discord session', 'claude remote', 'channel session', 'thread session'.
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    Alkosto Wait Optimizer · broomva bundle
    Estimate optimal waiting time for Alkosto's "every 25/50 customers" promotion using either checkout-flow observations or winner announcement timestamps. Use when the user asks how long to wait, wants a probability-based cutoff, or needs a fast in-store decision rule with uncertainty handling.
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    Agentic Control Kernel · broomva bundle
    Unifying control-systems metalayer for LLM-as-controller agent development. Bootstrap any repository with typed plant/action/trace schemas, safety shield conventions, multi-rate loop hierarchy, EGRI-compatible evaluator interfaces, and the full consciousness stack (governance + knowledge graph + episodic memory). Use when: (1) setting up agentic control primitives in a new or existing project, (2) designing LLM-as-controller architectures with safety shields and typed directives, (3) wiring EGRI/autoany loops for controller or artifact improvement, (4) bootstrapping the consciousness stack (control-metalayer + knowledge-graph + conversation bridge), (5) integrating symphony-style orchestration patterns, (6) defining plant interfaces, state estimators, or world models for agent-controlled systems, (7) user says "control kernel", "agentic control", "safety shield", "plant interface", "control metalayer", "agent controller", "multi-rate loop", "LLM control law".
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    Tribe V2 Bci Applied · broomva bundle
    Applied BCI research and neuro-informed content optimization using Meta's TRIBE v2 brain encoder. Predicts neural responses to media, UI, and content without brain scanners — enabling stimulus optimization, attention ranking, and BCI groundwork research. Use when: (1) Predicting neural responses to video, audio, or text content, (2) Ranking content by predicted brain engagement (visual cortex, attention, emotion), (3) Optimizing stimuli to maximize activation in a target cortical region, (4) BCI research using non-invasive population priors, (5) Accessibility research (testing presentation formats for language/auditory processing), (6) Computational neuromarketing research (CC BY-NC, non-commercial only), (7) Any task involving brain response prediction for media, UI design, or BCI applications using TRIBE v2.
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    Tribe V2 Neuroscience · broomva bundle
    In-silico neuroscience experiments using Meta's TRIBE v2 (TRansformer for In-silico Brain Experiments). Predicts fMRI cortical responses to video, audio, and text without brain scanners. Use when: (1) Designing and running virtual neuroscience experiments, (2) Predicting brain responses to stimuli, (3) Replicating classic neuroscience paradigms computationally, (4) Mapping which stimuli activate specific cortical regions (visual, auditory, language, DMN), (5) Testing hypotheses about neural processing before expensive fMRI studies, (6) Generating synthetic fMRI data for research, (7) Any task involving brain response prediction, cortical mapping, or computational neuroscience using TRIBE v2.
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    Governed Autonomy Loop · broomva bundle
    Turn any work-queue + any enforcement pipeline into a self-driving, self-healing, human-minimal autonomy loop with a control-systems safety envelope. A prose-defined governor closes a feedback loop over the queue, drives isolated worktree arcs to Done, is metacognitive (defers when the runtime can't support the act, escalates only when genuinely blocked, self-heals when the block clears), and NEVER performs the irreversible act itself — it delegates every merge/deploy/publish to an isolated arc gated by adversarial review + a policy gate + a server-side aggregate check. The controller is a markdown prompt interpreted fresh each tick; a thin tested shell (tick.sh) only schedules, locks, and logs. The skill SCAFFOLDS + GOVERNS a new loop instance: the invariant spine stays fixed, four adapters (tracker / irreversible-act + enforcement / runtime / partition) are per-instance, the deterministic core (scheduler, in-flight fold, reseed gate, config + denylist validation) is extracted into tested scripts, and the la
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    Tribe V2 Agent Alignment · broomva bundle
    Use Meta's TRIBE v2 brain encoder to validate cortical alignment of AI model representations (LLaMA, V-JEPA2, Wav2Vec, or any encoder) and inform model selection in the Life/Arcan agent OS stack. Use when: (1) Benchmarking whether a new model encoder aligns with human cortical processing, (2) Comparing text encoders by language cortex alignment score, (3) Comparing video encoders by visual cortex alignment score, (4) Integrating neuro-alignment scores into Arcan model routing, (5) Validating that a fine-tuned model has not lost biological plausibility, (6) Selecting the most brain-aligned encoder for a given modality in the agent OS, (7) Any task involving neuroscience-informed AI model evaluation, cortical alignment benchmarking, or biologically-inspired model selection.
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    Harness Engineering Playbook · broomva bundle
    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 architecture boundaries and data-shape contracts, wiring observability from day 1, and adding entropy-control checks plus CI automation for reliable autonomous runs.
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    Deep Dive Research Orchestrator · broomva bundle
    Conduct comprehensive multi-dimensional research on any subject using coordinated AI research specialists
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    Architecture Design Principles · broomva bundle
    Distilled architecture & design principles for building self-service developer platforms, control-plane / data-plane separation, and edge-centralized cross-cutting concerns — drawn from a senior platform engineer's 8-year retrospective on building Atlassian's Envoy-based load-balancing platform (Open Service Broker + Sovereign xDS control plane + AWS infra + sidecar model). Covers the three IaC layers (image / infra / runtime), the template+context pattern for dynamic proxy configuration, forced-migration as an adoption tool, long-term maintenance discipline (churn as a smell, build vs maintain as distinct skills), and the non-technical engineering skills (diplomacy, mentoring vs teaching). Use when: (1) designing a self-service internal developer platform, (2) deciding between native proxy features vs sidecars, (3) introducing or migrating to Envoy / xDS / service mesh, (4) implementing the Open Service Broker spec or any resource-provisioning API, (5) abstracting cloud complexity (AWS CloudFormation, Packer
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    Harness Selftest · broomva
    Fixture skill. Exists only so the eval harness has an artifact to bind its committed replay fixtures to, and so CI grades a real prompt set instead of only asserting that an empty fixture set fails. Triggered by the four cases in evals/prompts.json and by nothing else. NOT FOR any real task: it does nothing, and no agent should ever load it outside tests/skill_evals/.
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    Content Engine Opencaptions · broomva bundle
    OpenCaptions extension for Content Engine — adds intent-driven CWI (Caption With Intent) captions to the post-production pipeline. Hooks into the grade → caption → final stage. Generates captions that understand video intent (pitch, volume, emotion, emphasis) and style themselves accordingly with variable font weight, size, and color. Uses the OpenCaptions CLI or MCP server. Triggers on: 'add captions', 'opencaptions', 'CWI captions', 'intent captions'.
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    Content Engine Dna · broomva bundle
    Visual DNA Compiler -- compiles raw brand assets, character references, and style inspiration into persistent, structured identity files. Uses Gemini multimodal analysis to extract color palettes, composition rules, lighting patterns, and texture preferences. Generates tool-specific prompt fragments for Nano Banana Pro, Soul Cinema, Weavy, and ComfyUI. Inspired by Karpathy's LLM Wiki (compile-then-query) and MemPalace spatial hierarchy. Triggers on: 'compile brand', 'extract DNA', 'character sheet', 'style guide', 'compile identity', 'brand analysis'.
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    Content Engine Loop · broomva bundle
    Content Loop + Distribution — compounds existing broomva skills into a unified content lifecycle. Orchestrates /blog-post, /content-creation, /social-intelligence, /brainrot-for-good, and /brand-icons for multi-platform distribution. Adds performance tracking, feedback-driven identity refinement, content calendar, and campaign management. Triggers on: 'distribute content', 'content loop', 'publish campaign', 'content calendar', 'track performance'.
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    Content Engine Cinema · broomva bundle
    Cinematic Generation Layer — the taste and technique library for premium AI content. Codifies start-frame doctrine, camera style vocabulary (Anderson/Fincher/Nolan/Villeneuve/Kubrick), node pipeline architecture, scene generation formulas, and 25+ design styles with exact prompts. Tier-1 generation via Higgsfield CLI (30+ models — Soul V2, Nano Banana 2, Veo 3.1, Kling 3.0, Seedance 2.0, Flux 2, Marketing Studio). Triggers on: 'generate content', 'cinematic', 'create scene', 'start frame', 'style library', 'generate campaign', 'AI filmmaking', 'higgsfield generate', 'soul cinema', 'marketing studio'.
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    Content Engine Autopilot · broomva bundle
    Browser Orchestration — Playwright-driven generation at scale. Claude Code runs your entire content pipeline in the browser. Saves authentication sessions per tool, executes batch generation using compiled identity, and organizes output automatically. Supports Higgsfield, Weavy, Artlist, and extensible to any web-based generation tool. Triggers on: 'autopilot', 'browser automation', 'batch generate', 'setup tool', 'automated generation'.
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