Top Agent Skills

Turn a finished design into a developer-ready handoff spec - tokens, every interactive state, responsive breakpoints, and the edge cases mockups never show.

Disable an installed legal skill without uninstalling it — make it inert and unfireable while preserving its version, config, and provenance.

Produce a decision-ready legal briefing — daily digest, topic research, or incident write-up — scoped to what a non-lawyer stakeholder needs to decide or act on.

Write QML unit tests with Qt Quick Test using TestCase, SignalSpy, and data-driven functions.

Onboard a new small-business owner — connect their first two tools, run one recipe, interview them, store context, and set a weekly check-in.

Optimize a LinkedIn profile — headline, about, experience, and keywords — for recruiter search and credibility.

Build a character with a clear want, need, flaw, distinct voice, and arc.

Run a developmental then line-edit pass on a fiction draft, big issues before small.

Answer any data question, scaling effort from a one-number lookup to a full stakeholder-ready analysis with a recommendation.

Rewrite a blunt or rough email draft into a warm, friendly-but-professional version - tone and clarity improved, intent, facts, names, dates, and requests preserved exactly.

Prepare a DMCA 512(c) takedown notice or a 512(g) counter-notice for online copyright infringement with all statutory elements.

Design a Qt Quick (QML) user interface with sound layouts, theming, responsiveness, and accessibility.

Assemble tax-season materials — quarterly estimates or year-end 1099s — plus an organized accountant packet.

Add safety guardrails to an LLM app — prompt-injection defense, output validation, PII handling, and a clear refusal policy.

Produce a concise matter status update for the supervising attorney or case rounds, separating settled facts from open questions.

Package a customer escalation for engineering, product, or leadership as a decision-ready handoff — impact, timeline, facts vs. hypotheses, and a specific ask with an owner.

Turn a resolved support issue into a search-friendly, self-service knowledge-base article that deflects future tickets — with internal notes kept separate.

Author or debug Kubernetes manifests with distinct probes, right-sized resources, autoscaling, and safe reversible rollouts.

Explain a hard concept at a target level using a concrete analogy and a check for understanding.

Identify, categorize, and prioritize technical debt into a ranked, defensible backlog that ties each remediation to impact and effort — a register, not a wish list.

Produce a ready-to-run onboarding plan — pre-boarding checklist, day-1 agenda, first-week plan, and 30/60/90 ramp milestones with owners.

Build a bilingual terminology glossary and style guide that enforces consistency across a translation project.

Build and prioritize the acquirer universe for a sell-side M&A process — strategic and financial buyers scored on strategic fit, ability to pay, and likelihood to transact.

Populate an investment-banking pitch template from source data — situation, market, valuation, buyer landscape, and process recommendation — to win or advise on a mandate.

Run a trademark clearance search before adopting a new brand name, mark, or logo and risk-rate it clear, caution, or high-risk with a proceed/modify/abandon recommendation.

Customize an installed legal skill's settings — jurisdiction defaults, tone, autonomy, and enforced conditions — without weakening its security posture.

Remove an installed legal skill cleanly — check dependents, purge artifact and config, and preserve an audit record plus reinstall coordinates.

Monitor a live model for data quality, input and prediction drift, performance decay, and fire retraining triggers.

Write a PRD or feature spec that aligns design and engineering — problem with evidence, explicit non-goals, measurable success metrics, and testable acceptance criteria.

Review Qt6 C++ code for correctness, memory ownership, and idiomatic use of QObject, signals/slots, and implicit sharing.

Review QML code for correctness, performance, and idiom using qmllint and Qt6 best practices.

Track open comment periods and draft a substantive, on-the-record comment that argues your position within the docket's rules and deadline.

Rank the top-5 leads worth calling today with tailored, history-grounded talking points and proposed calendar blocks — no auto-send.

Produce a 30/60/90-day cash-flow forecast from AR and AP with base/low/high confidence bands and shortfall alerts.

Generate high-CTR titles and opening hooks for a piece of content and score them against clarity and curiosity.

Run a structured churn-save play for an at-risk account to diagnose root cause and reverse the decision.

Design or repair a CI/CD pipeline with well-ordered parallel stages, lockfile-keyed caching, quality gates, and build-once artifact promotion.

Build a personalized study plan with spaced-repetition scheduling toward a deadline and goal.

Value a business by discounting unlevered free cash flow at WACC with mid-year convention, a dual-method terminal value, and a full enterprise-to-equity-to-per-share bridge plus WACC-versus-growth sensitivity.

Model a leveraged buyout end to end — sources and uses, tranche-level debt with amortization and cash sweep, levered free cash flow, and sponsor returns (IRR and MOIC) with returns attribution and credit-stat tracking.

Draft a clear, complete, ready-to-send offer letter with compensation, terms, and contingencies — flagging every unconfirmed figure.

Structure and draft a Confidential Information Memorandum for a sell-side M&A process — the disclosed marketing document sent to buyers after they sign an NDA.

Refines ideas iteratively. Refine ideas through structured divergent and convergent thinking. Use "idea-refine" or "ideate" to trigger.

Go programming patterns and idioms

Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

Modern PHP programming patterns

Prd

SQL patterns for database querying and design

This skill should be used when the user wants to implement features or fix bugs using test-driven development. Enforces the RED-GREEN-REFACTOR cycle with vertical slicing, context isolation between test writing and implementation, human checkpoints, and auto-test feedback loops. Uses multi-agent orchestration with the Task tool for architecturally enforced context isolation. Supports Jest, Vitest, pytest, Go test, cargo test, PHPUnit, and RSpec.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks

Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.

Set up Playwright in a project. Use when user says "set up playwright", "add e2e tests", "configure playwright", "testing setup", "init playwright", or "add test infrastructure".

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.

Rust programming patterns and ownership concepts

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.

AFL++ is a fork of AFL with better fuzzing performance and advanced features. Use for multi-core fuzzing of C/C++ projects.

Provides Codex CLI delegation workflows for complex code generation and development tasks using OpenAI's GPT-5.3-codex models, including English prompt formulation, execution flags, sandbox modes, and safe result handling. Use when the user explicitly asks to use Codex for complex programming tasks such as code generation, refactoring, or architectural analysis. Triggers on "use codex", "delegate to codex", "run codex cli", "ask codex", "codex exec", "codex review".