Automate Hunter.io email intelligence -- search domains for email addresses, find specific contacts, verify email deliverability, manage leads, and monitor account usage -- using natural language through the Composio MCP integration.

Automate Jotform form listing, user management, activity history, folder organization, and plan inspection through natural language commands

Automate Neon serverless Postgres operations -- manage projects, branches, databases, roles, and connection URIs via the Composio MCP integration.

NetSuite Automation: manage customers, sales orders, invoices, inventory, and records via Oracle NetSuite ERP with SuiteQL queries

Automate New Relic observability workflows -- manage alert policies, notification channels, alert conditions, and monitor applications and browser apps via the Composio MCP integration.

Automate headless CMS operations in Prismic -- query documents, search content, retrieve custom types, and manage repository refs through the Composio Prismic integration.

Automate Replicate AI model operations -- run predictions, upload files, inspect model schemas, list versions, and manage prediction history via the Composio MCP integration.

RingCentral automation via Rube MCP -- toolkit not currently available in Composio; no RING_CENTRAL_ tools found

Automate SurveyMonkey survey creation, response collection, collector management, and survey discovery through natural language commands

Automate Test App tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Uploadcare file management including listing, storing, inspecting, downloading, and organizing file groups through natural language commands

Wave Accounting toolkit is not currently available as a native integration. No Wave-specific tools were found in the Composio platform. This skill is a placeholder pending future integration.

Zoho Desk automation via Rube MCP -- toolkit not currently available in Composio; no ZOHO_DESK_ tools found

Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.

Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.

Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read/write commands, return stable JSON, manage auth, and pair with a companion skill.

Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.

Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry CLI; perform read-only queries using the `sentry` command.

Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.

Spectroscopy, chromatography, titration, elemental analysis, X-ray crystallography, and mass spectrometry for chemical identification and quantitation. Covers UV-Vis and IR spectroscopy, NMR fundamentals, gas and liquid chromatography, gravimetric and volumetric analysis, diffraction methods, separation techniques, and quantitative error analysis. Use when identifying unknown substances, determining purity, measuring concentrations, or interpreting analytical data.

Use when the user reports a bug they can't reproduce, asks where to start debugging, or mentions a Heisenbug / production-only failure. Drives the observe→hypothesize→predict→test→iterate scientific method.

Structured approaches to decisions under uncertainty and complexity. Covers expected value, decision trees, multi-criteria decision analysis, System 1 vs System 2 allocation, pre-mortems, reversible vs irreversible decisions, and the distinction between good decisions and good outcomes. Use when choosing among alternatives with uncertain or multi-dimensional consequences, especially when the stakes justify a deliberate rather than intuitive process.

Evaluating the quality, provenance, and relevance of evidence that supports or undermines a claim. Covers source credibility, sampling quality, study design, levels of evidence (anecdote to meta-analysis), base rate integration, distinguishing primary from secondary sources, and calibrating belief to evidence strength. Use when the question is not whether an argument is valid but whether its premises are actually supported by the available data.

Bias detection and mitigation, fairness metrics, privacy frameworks, consent models, transparency requirements, and accountability structures for data science practice. Covers algorithmic bias sources, disparate impact testing, differential privacy, GDPR principles, model cards, datasheets for datasets, responsible AI frameworks, and the organizational governance needed to make ethics actionable. Use when auditing models for bias, designing privacy-preserving systems, establishing governance processes, or evaluating the social impact of data-driven decisions.

Regression analysis, ANOVA, generalized linear models, Bayesian methods, and model selection. Covers the full modeling workflow from problem formulation through diagnostics -- linear regression, logistic regression, Poisson regression, mixed-effects models, prior specification, posterior inference, AIC/BIC comparison, cross-validation for model selection, and assumption checking. Use when fitting models, testing hypotheses, or selecting among competing statistical explanations.

Systematic departures from rational choice theory and their implications for economic analysis and policy. Covers cognitive heuristics (anchoring, availability, representativeness), biases (loss aversion, status quo, overconfidence), prospect theory (reference dependence, probability weighting, diminishing sensitivity), nudge theory and choice architecture, and the integration of psychological findings into economic models. Use when analyzing decision-making under uncertainty, evaluating policy interventions that exploit behavioral patterns, or assessing where standard rational-agent models break down.

Analysis of aggregate economic phenomena -- GDP measurement, inflation dynamics, unemployment theory, monetary policy (central banks, interest rates, money supply), fiscal policy (government spending, taxation, debt), and the business cycle. Covers Keynesian, monetarist, and new classical perspectives. Use when analyzing national or global economic conditions, policy debates, economic growth, recessions, or the interaction between monetary and fiscal authorities.

Every electronic system is ultimately debugged at the bench with a small set of instruments. The skill of using them well is not about knowing which button to press but about knowing what quantity you

CAD fundamentals, 3D printing (FDM/SLA/SLS), CNC machining, workshop skills, rapid prototyping methodology, and testing of physical prototypes. Covers fidelity levels, material selection for prototypes, dimensional tolerancing, assembly planning, and the iterate-test loop. Use when building prototypes, selecting fabrication methods, planning physical tests, or choosing between prototyping technologies.

Emit Postgres.sql and SQLite.sql from a single schema spec so tools work across both drivers without duplicating DDL by hand. Use when designing a schema that needs to support both shared Postgres deployments and zero-config SQLite. Reduces two-file sync burden to a single source edit.

Primary and secondary source analysis for historical reasoning. Covers source classification, sourcing (author/context/purpose), corroboration across multiple sources, contextualization within time and place, and bias detection. Use when evaluating historical evidence, assessing source reliability, or constructing evidence-based historical arguments.

Deliberate practice as a rigorous training method distinct from ordinary repetition. Covers Ericsson's four conditions (specific goals, full attention, immediate feedback, repetition at the edge of current ability), the role of mental representations, coach-directed vs. self-directed practice, the plateau escape pattern, and practical drill design for procedural skills. Use when designing practice sets, diagnosing why practice is no longer producing gains, or distinguishing productive effort from busywork.

Measurement techniques for identifying composition, microstructure, and properties of engineering materials — optical and electron microscopy, x-ray diffraction, EDS and WDS spectroscopy, thermal analysis, mechanical testing, and fractography. Covers when to use which technique, sample-preparation pitfalls, and how to build a characterization plan that answers a specific engineering question rather than accumulating data for its own sake.

Real-world problem formulation, mathematical abstraction, and applied mathematics for translating between practical problems and mathematical frameworks. Covers the modeling cycle (problem identification, assumptions, formulation, analysis, validation, interpretation), Polya's framework adapted for modeling, common model types (linear, exponential, logistic, periodic, power-law), dimensional analysis (Buckingham Pi theorem), optimization (linear programming, gradient descent, constraint satisfaction), probability models (Markov chains, queuing theory, Monte Carlo simulation), statistical modeling (regression, hypothesis testing, model selection), model criticism (overfitting, underfitting, sensitivity analysis), and real-world case studies. Use when formulating mathematical models, performing dimensional analysis, optimizing systems, running simulations, or evaluating model validity.

Audio engineering — mastering, mixing, EQ, compression, loudness standards, synthesis, podcast production, music theory, spectrum analysis.

Provides chaos engineering best practices for resilience testing, fault injection, and game day planning. Use when designing resilience experiments, configuring chaos tools, planning game days, or when user mentions 'chaos engineering', 'resilience', 'litmus', 'game day', 'fault injection', 'chaos monkey', 'blast radius', 'steady state', 'failure mode'.

Provides CI/CD pipeline best practices for GitHub Actions, deployment strategies, and pipeline optimization. Use when setting up pipelines, configuring GitHub Actions, managing deployments, or when user mentions 'CI', 'CD', 'pipeline', 'GitHub Actions', 'deploy', 'workflow', 'build'.

Core cognitive processes underlying human thought and behavior. Covers attention (selective, divided, sustained), memory systems (sensory, working, long-term, encoding, retrieval, forgetting), perception (top-down, bottom-up, Gestalt principles, perceptual constancy), decision-making (heuristics, biases, prospect theory, bounded rationality), language processing (comprehension, production, Broca/Wernicke, bilingualism), and problem-solving (algorithms, heuristics, insight, functional fixedness, mental set). Use when analyzing how people think, attend, remember, perceive, decide, or solve problems.

Classical RCA asks "what component failed?" Systems-theoretic RCA asks "what *control* failed?" The difference is not cosmetic. An incident where no component is individually broken — every actor beha

Synchronous immediate signaling channel for inter-agent communication. Implements latest-wins single-file nudge pattern for health checks, stall detection, and urgent pings.

Computational tools and algorithms for statistical analysis. Covers simulation, resampling methods (bootstrap, permutation tests), Monte Carlo methods, random number generation, numerical optimization (Newton-Raphson, EM algorithm), cross-validation, and reproducible analysis workflows. Emphasizes the bootstrap revolution and the shift from formula-based to computation-based inference. Use when implementing statistical procedures, running simulations, bootstrapping confidence intervals, performing cross-validation, or building reproducible analysis pipelines.

Foundational cybersecurity literacy covering threat landscape (malware, phishing, social engineering, network attacks), defensive practices (encryption, authentication, access control, patching), privacy fundamentals (data collection, tracking, regulatory frameworks), and security reasoning (threat modeling, risk assessment, defense in depth). Use when explaining security concepts, evaluating system security, teaching safe technology practices, or reasoning about digital privacy. Distinct from professional penetration testing -- this skill covers what every technology user and designer should understand.

Upstream version checking, agentskills.io spec compliance audit, Claude Code feature gap analysis. Activates on updates, version checks, or alignment work.

DMA merge queue pattern for sequential, deterministic merge request processing. Checks out branches, rebases onto main, runs tests, merges, and pushes. Never auto-resolves conflicts.

Revision and editing strategies for all writing forms. Covers the revision hierarchy (structural revision, paragraph-level revision, sentence-level editing, proofreading), structural revision techniques (reverse outline, cut test, resequencing, scope audit), paragraph and sentence editing (coherence check, topic sentence audit, sentence combining, deadwood removal, passive voice audit), the workshop model (Calkins Writers Workshop, peer feedback protocols, conferencing, response letters), self-editing techniques (read-aloud test, print-and-mark, time gap, checklist protocols), and common error patterns with diagnostic fixes. Use when revising drafts, editing for clarity, running workshops, or teaching the revision process.

Generates knowledge pack content suites: vision documents, modules YAML, activities JSON, assessment frameworks, resource catalogs, and .skillmeta files. Shared by all 3 tier-specific author agents. Use when creating or updating pack content files.

Conversational guide for using tools/session-retro/observe.mjs to capture friction, wins, corrections, decisions, gaps, tool-use, and checkpoints as they happen during a session. Use at session start (to kick off the log), at inflection points (to record events), and at session end (to archive and feed the retrospective generator).

OpenStack backup operations skill for protecting cloud infrastructure through systematic backup strategies and disaster recovery procedures. Covers database backups (MariaDB full and incremental with mariabackup), configuration backups (globals.yml, inventory, Fernet keys), volume snapshots (Cinder LVM snapshots), image exports (Glance), instance snapshots (Nova), backup encryption (GPG/OpenSSL), retention policies (daily/weekly/monthly rotation), restore procedures (database point-in-time recovery, service rebuild), RPO/RTO planning, and disaster recovery drills. Use when planning backup strategy, scheduling automated backups, testing restore procedures, or executing disaster recovery.

Kolla-Ansible day-2 operations skill for post-deployment infrastructure lifecycle management. Covers service reconfiguration (globals.yml changes, config overrides, prechecks, targeted reconfigure with --tags), minor and major OpenStack upgrades (image pull, upgrade procedure, rollback), container management (restart, logs, health inspection), maintenance mode (compute disable, instance drain, host maintenance), password rotation, certificate renewal, and rolling updates. This skill is for operations after initial deployment -- the kolla-ansible deployment skill covers initial bootstrap and deploy.

OpenStack networking debug operations skill for SDN troubleshooting, packet tracing, and flow analysis. Covers OVS/OVN debugging (ovs-vsctl, ovs-ofctl, ovs-appctl, ovn-nbctl, ovn-sbctl, ovn-trace), security group analysis via OVS flow rules and conntrack, DHCP troubleshooting through namespace inspection and dnsmasq diagnostics, floating IP diagnosis with NAT rule and ARP verification, network namespace inspection (ip netns), MTU chain analysis for overlay networks, DNS resolution debugging, and east-west traffic diagnosis. Use when diagnosing network connectivity failures, tracing packets through the SDN stack, or analyzing flow tables in a running OpenStack cloud.