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Found 2,776 Skills
Use when an agent is asked "what did I (or my team) work on yesterday / this week / today" across provider data in a relayfile mount (Linear, GitHub, Notion, Slack, Confluence, Jira, etc.). Tells the agent to consult the pre-computed `digests/yesterday.md` (and sibling digest files) at the workspace root BEFORE doing manual exploration with `ls`/`grep`/`find`. The digest is deterministic, exhaustive over the window, and costs one file read instead of dozens of provider queries.
Enforce Tailwind container queries over viewport breakpoints for responsive components. Use when writing or reviewing responsive Tailwind code, when a component needs to adapt to its available space (cards, sidebars, lists, panels, anything reused in different layouts), or when migrating sm:/md:/lg: classes to @container variants.
Build Filament admin panels on the v5 API surface THIS project targets, not deprecated v3 patterns — a reference carrying the current namespaces and conventions for Resources, forms, tables, actions, filters, relation managers, widgets, infolists, panels, and testing, with business logic kept in application Actions, so a change lands idiomatic and review-ready instead of tripping over renamed APIs. Use when a task touches this project's Filament admin panels and should target the v5 surface rather than deprecated patterns.
Adaptive PLAN.md executor that preserves cook-quality implementation while choosing between direct main-agent work and sub-agent delegation. Runs a phase directly through cook when delegation has no material parallelism, context, or capability benefit; otherwise dispatches disjoint assignments through encode-agent prompts, discloses agent type, model, effort, scope, and rationale before each dispatch, and acceptance-reviews every returned diff. Expects prep to have created PLAN.md + HANDOFF.md and composes with cook, encode-agent, encode-docs, and handoff. Triggers: "/cater".
Integrates local AI capabilities into applications using Embeddable Lemonade. Use when the user wants to add local AI, offline AI, private AI, on-device AI, a local LLM, local chat, embeddings, image generation, speech-to-text, or text-to-speech to an existing app; replace or supplement OpenAI, Anthropic, Ollama, or other cloud AI APIs with a local backend; only use to convert user apps. Do not use when the user just wants the agent itself to generate images, transcribe, or speak locally in the current workspace, even to cut their own API bill.
Orca orchestration coordinator runbook for orchestrator sessions only: bind the Run created by /orca-tasks, dispatch ready tasks one-worktree-one-branch, drive the task DAG, watchdog check --wait, gate failures, auto-merge green PRs, release workers. Also has a quick path for 1-2 task runs without a plan. Invoke with /orca-orchestrate.
Use when parallel agents share a codebase: adding new behavior, editing or resolving conflicts in shared files (dispatchers, registries, lockfiles), finding and splitting churn hotspots, or writing AGENTS.md, CLAUDE.md, or README.
Define and sharpen a brand's market positioning — where it sits relative to competitors, what it owns, and how it differentiates. Use when the user says "brand positioning", "positioning statement", "where do we sit in the market", "how are we different", "differentiation strategy", "positioning map", "competitive positioning", "what space do we own", "brand territory", "we're too similar to competitors", "help me position this brand", or wants to find a defensible place in a crowded category.
Mounts Cloud Storage buckets as a POSIX file system with Cloud Storage FUSE (gcsfuse). Use when you need to interact with gcsfuse — decide whether FUSE, native gs:// reads, or Filestore/Managed Lustre fits a workload, deploy tuned mounts on GKE, Compute Engine, or Cloud Run, enable and size the file, stat, and list caches, tune mount flags or config-file settings, apply workload profiles, keep ML checkpointing safe (rename atomicity, hierarchical namespace, close-time finalization, concurrent writers), or diagnose slow training, low throughput, or Cloud Storage bill spikes on existing mounts with gcsfuse metrics. Covers mount semantics, the gcsfuse CLI and config file, the GKE gcsfuse CSI driver (Workload Identity principal:// bindings, profile StorageClasses, sidecar sizing), and Cloud Run volume mounts. Don't use for bucket administration or data management without a mount (use the google-cloud-storage-basics skill instead) or for fully POSIX-compliant shared file systems (use Filestore or Managed Lustre).
Use when setting up or running hooks with prek in any repository. prek is a Rust drop-in alternative to pre-commit for running Git hooks that check, format, lint, and validate code and repository files. Prefer it when speed, workspace mode, built-in hooks, shared toolchains, or native TOML configuration matter.
Map a market's segments, players, substitutes, and whitespace with cited evidence. Use when entering or re-evaluating a market before sizing, positioning, or picking competitors to study.
Provides universal workflow patterns and best practices for using the Attio MCP server. Complements the attio-workspace-schema skill with HOW-TO guidance for MCP tools and error prevention.