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Found 441 Skills
Use when building .NET 10 or C# 14 applications; when using minimal APIs, modular monolith patterns, or feature folders; when implementing HTTP resilience, Options pattern, Channels, or validation; when seeing outdated patterns like old extension method syntax
Use when CONFIGURING an existing SDK - NOT for initial generation. Covers gen.yaml configuration for all languages: TypeScript, Python, Go, Java, C#, PHP, Ruby. Also covers runtime overrides (retries, timeouts, server selection) in application code. Triggers on "configure SDK", "gen.yaml", "SDK options", "SDK config", "SDK configuration", "runtime override", "SDK client config", "override timeout", "per-call config". For NEW SDK generation, use start-new-sdk-project instead.
Get OpenAI Codex documentation pages in Markdown. Use when you need to reference Codex CLI features, configuration options, or any other Codex functionality.
Run a high-quality decision process and produce a Decision Process Pack (decision brief/pre-read, options + criteria matrix, RAPID/DACI roles, decision meeting plan, decision log entry, comms, review plan). Use for decision making, decision memo, decision log, one-way door vs two-way door, RAPID, DACI, RACI, exec alignment.
Create a Pricing Strategy Pack (value metric + willingness-to-pay plan, packaging & price-point options, self-serve vs sales-led thresholds, experiments, rollout + review cadence). Use for pricing, monetization, freemium, free trial, reverse trial, and packaging decisions. Category: Growth.
Use when you need to generate many creative options before systematically narrowing to the best choices. Invoke when exploring product ideas, solving open-ended problems, generating strategic alternatives, developing research questions, designing experiments, or when you need both breadth (many ideas) and rigor (principled selection). Use when user mentions brainstorming, ideation, divergent thinking, generating options, or evaluating alternatives.
Professional-grade Python development with Ruff (v0.14.10) - an extremely fast Python linter and formatter. Use when working with Python codebases for (1) linting and fixing code quality issues, (2) formatting Python code, (3) configuring Ruff settings, (4) understanding and resolving specific rule violations, (5) integrating Ruff into projects or editors, (6) migrating from other tools (Black, Flake8, isort, etc.), or (7) any Ruff-related development tasks. Includes complete documentation for 937+ lint rules, formatter settings, configuration options, and editor integrations.
Terminal session manager for AI coding agents. Use when user mentions "agent-deck", "session", "sub-agent", "MCP attach", "git worktree", or needs to (1) create/start/stop/restart/fork sessions, (2) attach/detach MCPs, (3) manage groups/profiles, (4) get session output, (5) configure agent-deck, (6) troubleshoot issues, (7) launch sub-agents, or (8) create/manage worktree sessions. Covers CLI commands, TUI shortcuts, config.toml options, and automation.
Generate visual design proposal catalogues for existing projects. Use when: - User wants to explore design directions before implementation - Redesigning or refreshing an existing interface - Starting /aesthetic or /polish without clear direction - User says "explore designs", "show me options", "design directions" Keywords: design catalogue, proposals, visual exploration, aesthetic directions, DNA
Deep web research with parallel investigators, multi-wave exploration, and structured synthesis. Spawns multiple web-researcher agents to explore different facets of a topic simultaneously, launches additional waves when gaps are identified, then synthesizes findings. Use when asked to research, investigate, compare options, find best practices, or gather comprehensive information from the web.\n\nThoroughness: quick for factual lookups | medium for focused topics | thorough for comparisons/evaluations (waves continue while critical gaps remain) | very-thorough for comprehensive research (waves continue until satisficed). Auto-selects if not specified.
Meta-cognitive decision support that analyzes current context and surfaces intelligent next-step options to the user. Use this skill when: (1) User explicitly invokes /checkpoint, (2) Significant work has been completed and a checkpoint is valuable, (3) Uncertainty or ambiguity exists about requirements or approach, (4) Task complexity has expanded beyond initial scope, (5) Before finalizing or committing to ensure nothing is missed. This skill pauses execution, assesses the situation holistically, and presents 2-5 contextually-appropriate options via AskUserQuestion, with a recommended option and rationale.
Add new behavior options without changing core roles.