Browse Secure Claude Skills
Search verified agent skills and review security grades before installing · full A–Z index
- Prompt LibraryManage and retrieve reusable prompts from broomva.tech or any compatible prompt repository. Pull prompts by slug, category, or tag; push new prompts or update existing ones; list available prompts with filtering. Supports remote push/update/delete via authenticated API using OAuth session tokens. Use when: (1) user asks for a prompt, system instruction, or agent directive, (2) user wants to save a prompt for reuse, (3) user mentions "prompt library", "prompt repo", "save this prompt", "get pr...Votes: 0GitHub stars: 4
- Make SpecScaffold a substantive human-readable design doc (spec / plan / ADR / report / PR explainer) as native HTML using the workspace's canonical Broomva dark theme. Implements P18 (Format-Follows-Audience) for Category-C native artifacts — distinct from `bookkeeping render`, which projects Category-B markdown canonicals to HTML. Use when: (1) drafting a substantive design doc a human will actually read (>100 lines OR contains tables/diagrams/decision matrices), (2) writing an ADR (architectural de...Votes: 0GitHub stars: 4
- DisambiguateRewrite a requirement so it can only be read one way. Distilled from ASD-STE100 Simplified Technical English — forty years of aerospace evidence about what a reader misreads when they cannot ask the author what he meant. Turns a vague ask ("handle errors gracefully", "the system should support X") into something atomic, owned, bounded, and testable, and says which of five reader-questions each defect leaves open. Ships a deterministic checker (scripts/disambiguate.py, stdlib only) that catche...Votes: 0GitHub stars: 4
- Audit Harness UsageAudit 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, standard-library Python scanner that normalizes incompatible cache/input/output semantics, deduplicates streaming records, implements CodexBar-derived lineage-aware Codex accounting locally, preserves Cursor list cost separately from charged cost, ...Votes: 0GitHub stars: 4
- Attempt AuditFind absence-assertions that carry no attempt-record — code that returns the same empty value whether the work RAN and found nothing or was SKIPPED entirely, so the caller cannot tell the two apart. Detects the concrete syntactic shape: a boolean parameter gates real work, and the function falls through to an empty sentinel that records nothing. Zero config, one command, plain-language findings; reports what it could not parse rather than letting a clean run and an empty run look identical. U...Votes: 0GitHub stars: 4
- PhronesisAI-native advisory practice for the Broomva ecosystem. Encodes top-firm consulting methodology (Three Horizons, MIT CISR digital maturity, JTBD, Value Proposition Canvas, RICE/ICE/WSJF, NPV + Real Options, QuantumBlack ML lifecycle, Wardley Mapping) as runnable typed primitives. Produces 7 Discovery-grade deliverables in two modes — consultant CLI or autonomous Life Runtime endpoint. Use when: (1) running an AI/digital consulting engagement, (2) building a maturity assessment, (3) generating ...Votes: 0GitHub stars: 4
- SourcerCrawl a set of sites into a verified entity graph — companies, the people who run them, the relationships between them — where every claim points at the bytes it came from and nothing expands until it verifies. Agents read pages that are already on disk and return byte spans; a fetch daemon is the only thing that may put bytes there, so fabricating evidence is not a callable path rather than something a check must catch. Twelve gates run over what the run left on disk, eleven of them fail clo...Votes: 0GitHub stars: 4
- ParallaxDrive Parallax — a simulation runtime whose results carry how much of them was real. Point it at a context (a directory, an agent workspace, a table list), it proposes an ontology built from what is actually there, a human accepts that proposal before it can run, and only then does it roll the accepted model forward under candidate decisions. Every answer is typed observed or simulated. Use this skill to run the propose → answer → accept → run → receipt flow from the CLI or the agent tool sur...Votes: 0GitHub stars: 4
- Data ProviderTurn a question about the world into a table Parallax can accept, with every field typed observed or simulated at the moment it is written. You do the searching — WebSearch, WebFetch, whatever reaches the corpus — and this skill owns the parts that must be identical every time and checkable afterwards: recording a finding against the artifact it was read from, hashing that artifact, judging each column observed or simulated by a stated rule rather than by feel, and emitting the exact `paralla...Votes: 0GitHub stars: 4
- Ocean GenomicsComprehensive bioinformatics and ocean genomics skill for eDNA metabarcoding, metagenomics, protein structure prediction, and marine biodiversity analysis. Use when: (1) Working with DNA/RNA sequences (FASTQ, FASTA, SAM/BAM, VCF files), (2) Running BLAST, QIIME2, Kraken2, or Nextflow pipelines, (3) Predicting protein structures via ESMFold2, AlphaFold, or ColabFold, (4) Analyzing environmental DNA (eDNA) from marine samples, (5) Querying marine databases (OBIS, BOLD, DOO, GenBank, UniProt), (...Votes: 0GitHub stars: 4
- OrcahandFull-stack skill for the ORCA Hand — 17-DOF tendon-driven robotic hand (ETH Zurich). Implements agentic-control-kernel Plant interface with typed schemas, safety shields, multi-rate loops. Lifecycle: 3D print + assembly, MuJoCo sim (orca_sim), RL training (macOS + remote GPU), teleoperation (AVP/Rokoko/MediaPipe via orca_retargeter), sim-to-real, EGRI improvement. Use when: building/assembling OrcaHand, orca_sim environments, teleoperating, training grasp policies, sim-to-real transfer, contr...Votes: 0GitHub stars: 4
- Capx Agentic RoboticsAgentic robotics with CaP-X — LLM-driven robot manipulation via code generation. Use when: (1) Setting up CaP-X / CaP-Gym environments for robot manipulation benchmarks, (2) Running CaP-Bench evaluations across LLMs/VLMs on robotic tasks, (3) Building or extending CaP-Agent0 agentic harnesses (skill libraries, visual differencing, parallel reasoning), (4) Training robot coding agents with CaP-RL (GRPO on code generation), (5) Developing perception APIs (SAM3, Molmo, depth, point clouds) or co...Votes: 0GitHub stars: 4
- Deep Dive Research OrchestratorConduct comprehensive multi-dimensional research on any subject using coordinated AI research specialistsVotes: 0GitHub stars: 4
- CheckitIngest-and-integrate an artifact someone points at with a terse, deliberately under-articulated directive — "check this out", "lets research this", "look into this", "wdyt" — followed by a URL, repo, paper, file, image, or pasted document. Infers the actual request from a fully-contextualized frame (who is asking + what they're working on + what's already known) WITHOUT bouncing a clarifying question back, then runs the pipeline: contextualize → deep research (verify every source) → analyze →...Votes: 0GitHub stars: 4
- Social IntelligenceAutonomous social engagement + knowledge extraction loop for Moltbook and X/Twitter. Runs the engagement loop (post substantive comments, solve verification challenges, reply to mentions, quote-tweet), extracts knowledge from all interactions into the broomva research vault, and compounds with /blog-post and /content-creation to turn discovered insights into published content. Integrates with knowledge-graph-memory for cross-session persistence. Use when: (1) running the social engagement loo...Votes: 0GitHub stars: 4
- Seo LlmeoSEO and LLM Engine Optimization (LLMEO) skill for BroomVA content. Analyzes pages for traditional search-engine signals (meta tags, structured data, Core Web Vitals, internal linking) and for LLM discoverability (llms.txt, semantic headings, FAQ schema, citation-friendly structure). Generates actionable audits and rewrites. Use when: (1) auditing a page or site for SEO health, (2) optimizing content for LLM citation and AI search surfaces, (3) generating meta tags and structured data, (4) cre...Votes: 0GitHub stars: 4
- Revenuecastrevenuecast — turn a real-world capability into a self-demonstrating, high-throughput generative-AI revenue engine (the "Kleos" method). It is "/skillify for revenue": skillify turns a workflow into a tested skill; revenuecast turns a capability into a revenue engine whose own output IS the advertisement. The bstack-native composition of the 2026 "show-then-sell-the-system" creator loop (realosias, aivideoskool, GenHQ): Brand-Lock -> Show -> Distribute -> Hook -> Sell -> Moat, where the showc...Votes: 0GitHub stars: 4
- Format FirstDecide WHAT SHAPE of content to make, and refuse the platform folklore that circulates as fact. Encodes a claim set traced to primary sources — Meta's own engineering writeup and Transparency Center system cards, Mosseri's actual posts, and the psychology literature behind "hooks" and repetition — separating what is documented, what is hypothesis, and what is unsupported. Ships a linter that GRADES each claim — refuted, contested, unverified, folklore — and errors only on the ones contradicte...Votes: 0GitHub stars: 4
- Content CreationFull-stack content creation pipeline: idea or reference to published blog post, audio narration, video, and social media distribution. Orchestrates research, reference extraction, storytelling, AI visual assets (Nano Banana, Veo 3.1), TTS audio (Voicebox, kokoro-tts, Edge TTS), Remotion video, and social copy into a complete content package. Use when: (1) creating a blog post, case study, or writing entry, (2) turning an idea or experience into structured narrative, (3) using a reference post...Votes: 0GitHub stars: 4
- CitableMake authored content survive the two selection surfaces it now faces: human engagement and LLM retrieval for citation. These partially anti-correlate, and the tactics that raise reactions are in two measured cases the ones that suppress citation. Encodes effect sizes from published causal studies (Scrunch, 12,000 ChatGPT observations via double machine learning; Semrush, 325,000 prompts over 89,000 cited URLs) rather than folklore, and ships a linter that enforces the mechanical half. Use wh...Votes: 0GitHub stars: 4