organvm

Set up Cloudflare Turnstile end-to-end in a project: scan the codebase, create the widget via the Cloudflare API, deploy the managed siteverify Worker, write the frontend snippets, validate, and persist the skill. Load this when a user asks to add Turnstile, set up CAPTCHA, protect a form from bots, or fix a Turnstile integration. Mirrors developers.cloudflare.com/turnstile/spin.

Four-phase protocol for clearing accumulated drift between memory claims, CLAUDE.md citations, and on-disk reality. Detects stale citations, missing files, and orphan plans; classifies findings; emits proposed diffs; codifies prevention. Companion to closeout (closeout discovers orphans; this skill polishes them). Discovery ≠ remediation — Phase 3 emits proposed diffs only; constitutional doc edits require explicit conductor authorization.

Ingest a corpus of session logs (JSONL transcripts, chat exports) and extract a persona profile — vocabulary frequency, unique idioms and coinages, structural analogies — then synthesize an ideal_yearning and archetypal_pattern and append the result to a {persona_id}.lexicon.yaml. Triggers on "extract persona", "build a lexicon", "map the domain language", or any request to process conversation logs into a voice/vocabulary model.

Apply narratological scoring to a text, transcript, or recording transcript — rating contiguous spans for pathos, logos, ethos, kairos, and density — then extract the single highest-scoring contiguous block as the work's Natural Center, with a scoring table and justification. Triggers on "find the natural center", "extract the most dramatic moment", "what's the strongest passage", or pulling the peak block from a long artifact for a short, excerpt, or trailer.

Transform any data, document, deck, README, manifest, config, or report by (1) extracting every piece of dynamic information — names, links, statistics, costs, identifiers, dates, thresholds — into configurable variables instead of hard-coding, and (2) enforcing that every factual assertion carries at least two independent citations. Triggers on "remove branding," "make this reusable," "transmute this," "parametrize," "no hard-coded values," "configurable," "needs citations," "verify these claims," or any request to convert a one-off artifact into a parameterized template.

Scan rough markdown, session exports, or pasted prose and isolate each core intent into a structured prompt atom — classified as law, value, directive, constraint, question, or branch-vector — then rewrite it into machine-readable YAML frontmatter per the RAW → CLEANED/FORMALIZED → ELEVATED doctrine. Triggers on "prompt atom extraction pass", "atomize this", "formalize these prompts", or converting loose operator text into registry-grade atoms.

Decompose a system, repository, or architecture into four tiers — Macro (whole system), Bricks (components), Elements (conceptual primitives), Primitives (base operations) — reading target source plus its seed.yaml, then output a comparison table of the new system against existing substrates to expose reuse and overlap before anything new is built. Triggers on "boil down", "decompose into primitives", "recursive boil-down", or analyzing a new repo/architecture against what already exists.

Parse a session transcript into a structured Session Governance Index — an annotated bibliography of every file modified and commit made, internal-energy accounting (tool uses, estimated tokens), shipped-vs-tasked atom tally, and classification of missing items as Gaps or Vacuums. Triggers on "visibility-schema-substrate-sweep", "session cascade audit", "session governance audit", or any request to summarize what a session actually produced versus what it was asked to produce.

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.

Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.

Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Toolkit for creating animated GIFs optimized for Slack, with validators for size constraints and composable animation primitives. This skill applies when users request animated GIFs or emoji animations for Slack from descriptions like "make me a GIF for Slack of X doing Y".

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

Suite of tools for creating elaborate, multi-component Codex.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.

Creates annotated bibliography-style manifests for Codex projects, tracking files, conversation threads, and relationships with unique IDs and annotations. Use when documenting project contents, creating file inventories, tracking conversation history, or building navigable knowledge maps.

Session-end ritual that walks back through plans authored and atoms touched in this session, assigning each a closure status (DONE-NNN, IRF-XXX-NNN, or `~/.Codex/plans/abandoned/`). Verifies git state. Produces CLOSEOUT_SUMMARY.md. Triggers on "/closeout", "close out the session", "end of session", "wrap up", "session close", or before any planned `git push`. Addresses the 90.4% plan-orphan rate documented in docs/evaluation/self-review-2026-05-05/stale-plans-and-orphan-commits.md.

Self-improvement patterns for AI agents to learn from feedback, errors, and successful patterns across sessions

Route creative work (scripts, narratives, stories, films, games) to appropriate analysis protocols. Triggers on requests involving script analysis, narrative breakdown, story feedback, creative work evaluation, structural diagnosis, algorithm extraction, or any variation of "analyze this [creative work]". Selects protocol based on user intent: triage (P1), structural diagnosis (P2), craft revision (P3), scholarly analysis (P4), market assessment (P5), mechanism extraction (P6), or comprehensive analysis (P7). Default to P3 (Craft) for revision-oriented requests.

Full analytical treatment protocol (P7) for major works requiring archival-quality documentation. Triggers on "full analysis", "comprehensive breakdown", "everything", "complete coverage", "teaching case study", "archival documentation". Produces all 8 core documents plus supplements. Activates all 9 analyst roles. Estimated time 8-12 hours per 100-page script. This is the complete script-analysis-dramaturgical skill activation.

Practical revision guidance protocol (P3) for working writers with structurally sound drafts needing deepening. DEFAULT protocol for revision requests. Triggers on "revision notes", "feedback", "how do I fix", "notes for rewrite", "polish pass", "dialogue notes", "character notes". Produces Coverage Report, Structural Analysis, Character Atlas, Diagnostic Report, and Revision Roadmap. Estimated time 4-5 hours per 100-page script.

Mechanism identification and algorithm extraction protocol (P6) for studying how narrative techniques work. Triggers on "how does this technique work", "extract the mechanism", "algorithm extraction", "formalize the approach", "what's the pattern", "study this showrunner's method". Produces Structural Analysis (mechanism-focused), Theoretical Correspondence, and Mechanism Extraction Report. Designed to feed the narratological-algorithms workflow. Estimated time 4-6 hours per work.

Commercial viability assessment protocol (P5) for creative work. Triggers on "will this sell", "commercial potential", "market assessment", "audience", "budget", "castability", "production feasibility", "pitch deck", "packaging". Produces Coverage Report (market-focused), Market Positioning Analysis, Comparable Titles Analysis, and Production Feasibility Assessment. Uses PRODUCER as primary role. Estimated time 3-4 hours per 100-page script.

Academic-grade theoretical analysis protocol (P4) for scholarly output. Triggers on "academic analysis", "for a paper", "theoretical framework", "teaching material", "lecture prep", "peer review", "thesis chapter", "historical context". Produces Structural Analysis, Thematic Architecture, Theoretical Correspondence, and Diagnostic Report. Uses ACADEMIC, NARRATOLOGIST, ART_HIST as primary roles. Estimated time 6-8 hours per 100-page script.

Architecture diagnosis protocol (P2) for creative work requiring structural overhaul. Triggers on "structure", "architecture", "act breakdown", "what's broken structurally", "macro-level problems", "rewrite planning". Produces Coverage Report, Structural Analysis, and Diagnostic Report. Uses DRAMATURGIST and NARRATOLOGIST as primary roles. Estimated time 2-3 hours per 100-page script.

Rapid assessment protocol (P1) for creative work gatekeeping decisions. Triggers on "quick read", "worth pursuing", "should I read this", "pass or recommend", "first look", or high-volume evaluation contexts. Produces abbreviated coverage report with RECOMMEND/CONSIDER/PASS decision. Uses FIRST-READER and DRAMATURGIST roles only. Estimated time 30-60 minutes per 100-page script.

Drive one change from implemented to LIVE-VERIFIED and merged — scoped gates, PR, required-checks merge, live-artifact proof, closeout predicates — with no status stalls in between. Use when asked to ship, land, or deliver a change end-to-end.

Judge whether the public PROSE reads professionally — tone, brand-voice, clarity, credibility — and record a content-pinned verdict. Use when DECORVM (the professionalization keeper) queues a "prose changed — re-review voice" finding, or when asked to review/grade how a public README, bio, or positioning doc SOUNDS (not just whether it is spelled right). The deterministic half (spelling, staleness, narrative-accuracy) is scripts/decorum-keeper.py; this skill is its model-in-the-loop voice complement, the sibling of experience-judge.

Connect Antigravity (Agy) to Limen's symmetric peer-conductor protocol. Use when Agy must conduct, execute, review, split, observe, or harvest bounded Limen work through the authenticated conduct CLI or MCP surface.

Score the visual quality of the public surfaces the experience-audit organ captured — layout, typography, coherence, trust — and record verdicts. Use when asked to judge, review, or grade how the public sites/pages LOOK (not just whether they load), or to run the visual half of the experience audit. The mechanical half (reachable/fast/light/no-errors) is scripts/experience-audit.py; this skill is its human/model-in-the-loop visual complement.

Drive a task to a true closeout — ZERO open or dangling items. Verify ground truth read-only across all owners, close every gap so each owner records its own residual work, reach an idempotent fixed point (re-run = no changes), commit all loose work, and produce a relay handoff. Use when asked to close out, finalize, wrap up, archive, or hand off.

Drive a task to a true closeout — ZERO open or dangling items. Verify ground truth read-only across all owners, close every gap so each owner records its own residual work, reach an idempotent fixed point (re-run = no changes), commit all loose work, and produce a relay handoff. Use when asked to close out, finalize, wrap up, archive, or hand off.

A skill to review code and highlight issues.

Conduct source-backed research for an SGO commission, from FINER question shaping through capability-based provider routing, attended Perplexity Pro handoff or credential-gated API execution, Markdown export ingestion, claim-to-source verification, and durable evidence receipts. Use for current-web research, literature discovery, standards or provider-change research, fact checking, public-claim due diligence, systematic reviews, and any commission whose downstream writing or implementation must consume a verified EvidencePacket.

Resolve and load any agent capability across the whole fleet from one place. Given an intent, finds the matching skill/command/agent across Claude, Codex, Gemini, .agents, a-i--skills, OpenCode, and OpenClaw — then loads it through the _arms portal. Triggers on cross-agent skill discovery, "which agent has a skill for X", capability routing, or "find a skill that does Y".

This skill should be used when the user asks to bootstrap a TypeScript monorepo from a ChatGPT design corpus, replay the speech-score-engine setup procedure, recover canvas content from a ChatGPT project's saves endpoint, or scaffold a pnpm-workspace + Turbo + biome project from a blueprint canvas. The skill orchestrates a six-phase procedure (canvas recovery → archive inventory → blueprint identification → monorepo scaffold → first vertical slice → cluster-spillover etiquette). The historical record at three granularities lives in references/.

Scans the project's dependency manifests (package.json / requirements.txt / pyproject.toml / Cargo.toml / go.mod / Gemfile / composer.json) for known CVEs via OSV.dev, cross-references the VulnPulse live feed for CVEs published in the last 24 hours, and returns a prioritized patch list. Use this skill when the user asks to "check my dependencies for vulnerabilities", "audit my repo for CVEs", "what should I patch first", "scan for vulns", "security audit my deps", "show me CVEs in this project", or any equivalent ask. Trigger automatically when the user mentions a CVE-by-id (e.g., "is CVE-2026-XXXXX in my code?"). Skip when the user is asking for a static-analysis / linting style audit (different skill).