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Found 6,147 Skills
Forensic audit of the user's recent Claude Code sessions to surface step-change workflow improvements — not marginal ones. Use when the user asks to "audit my Claude Code sessions", "analyze how I use Claude Code", "find patterns in my usage", "improve my Claude Code workflow", "review my sessions", "find leverage in my setup", or wants to understand where their Claude Code setup is leaking time. Samples dozens of real transcripts, extracts quantitative signal via scripts, uses parallel subagents for deep reads, then synthesizes into a short prioritized report with drafted implementations (new skills, CLAUDE.md rules, hooks, settings diffs) that the user can install directly. Trigger even when the user doesn't say the word "audit" — if they're asking about improving or reviewing their Claude Code habits at scale, use this skill.
Design notification workflows the Novu way — choose channels, set severity, decide when a workflow is critical, configure digests, and route based on subscriber state. Applies to BOTH dashboard-authored and code-first (`@novu/framework`) workflows. Use when planning a new workflow, deciding which channels to include, picking severity, configuring digest behavior, or matching a use case (order confirmation, payment failed, account suspended, comment, trial expiring, password reset, webhook fan-out, fetch-then-notify) to a proven template.
Flespi integration. Manage data, records, and automate workflows. Use when the user wants to interact with Flespi data.
Khoros Marketing integration. Manage data, records, and automate workflows. Use when the user wants to interact with Khoros Marketing data.
Slope integration. Manage data, records, and automate workflows. Use when the user wants to interact with Slope data.
Primarily the agent's internal-thinking skill — invoke it silently to model a problem, identify trade-offs, and decide what to do, BEFORE asking the user anything or dispatching another skill. Workflow skills call `/culture` as their step-1 reasoning pass; the agent does not surface the dialogue. Only treat this as a user-facing skill when the user has explicitly opted out of writes — phrases like "no writes", "just rubber-duck this", "let's only talk", "/culture". In the user-facing path the output is conversation; the only sanctioned artifact is an opt-in `.cheese/notes/<slug>.md` handoff slug at session end if the user asks for notes. Culture never writes to production code, never commits, never opens PRs. If the dialogue reveals real work, recommend `/mold` (fuzzy → spec) or `/cook` (clear ask → code) and stop. Before `/mold` or `/cook`.
Kandy integration. Manage data, records, and automate workflows. Use when the user wants to interact with Kandy data.
Router skill for LLMQuant portfolio workflows. Use when the user needs company profiles, thesis tracking, theme research, watchlist monitoring, or alert management.
Cross River integration. Manage data, records, and automate workflows. Use when the user wants to interact with Cross River data.
Transition the Linear issues linked to the current branch through their workflow states (In Progress / In Review / Done) — resolve live state IDs by team name, extract issue IDs from the branch, and apply the transition idempotently. Use when starting work on an issue, when a PR opens or updates, during branch cleanup, or whenever a branch's Linear issues need their state synced. Resolves state IDs by team name (not key — keys go stale on rename), reads the team name and issue-ID prefixes from config.json, and skips any issue already at or past the target state.
Use when the user wants to build, initialize, validate, optimize, or refactor a model-powered assistant, internal tool, automation, evaluator, or workflow from a business scenario or common problem statement, including project-structure refactors or starter skeletons that may separate model setup, prompt config, and orchestration, even if the request also mentions a UI, app shell, or local model service such as Ollama, and it is still unclear whether the solution should stay a single request, add supporting capabilities, or become orchestration. The user does not need to mention Agently explicitly.
AI SDLC Conventional Commit workflow. Use when an AI assistant drafts, validates, reviews, or fixes commit messages in this repository, especially when commits must include SDD spec references, validation summaries, or safe conventional commit subjects. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.