AGENT SKILLS · MISSION KIT
Useful agent skills ranked by real adoption
Browse verified skills from public repositories. Compare what each skill does, package contents, install activity, and source evidence before adding it to your agent.
- CATALOG SCOPE
- VERIFIED
- skills
- 22,403
- repositories
- 3432
- last synced
- Oct 27, 2026
solomondivyananthae-transitions
Build transitions between shots and scenes in After Effects through the AE MCP Bridge - cuts on the beat, whip pans and zoom punches with motion blur, shape and mask wipes, luma and gradient wipes, iris, block and card wipes, light and glass wipes, match cuts, and precomp-based transitions, with verified effect and parameter names. Use when asked to transition, wipe, reveal, cut between scenes, or make scene changes feel smoother or punchier.
- 1h installs
- 1
- GitHub stars
- 68
- Updated
- Oct 5
solomondivyananthae-ui-motion
App and product-launch motion in After Effects through the AE MCP Bridge - soft mesh-gradient backgrounds, UI screens as layered 3D panels with perspective tilts and rim light, cards that cascade in, carousels and coverflow on one slider, glass panels, looping collaboration cursors, AI responses that stream in with a shimmer, device mockups, a logo that becomes the app header, light-to-dark theme switches for a premium tier, particle dissolves into a logo, and a light-sweep end card. Use when as
- 1h installs
- 1
- GitHub stars
- 68
- Updated
- Oct 5
arize-aiarize-dataset
Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datasets, export dataset, append examples, dataset version, golden dataset, or test set.
- 1h installs
- 1
- GitHub stars
- 65
- Updated
- Oct 20
arize-aiarize-experiment
Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, compare models, model performance, evaluate AI, experiment results, benchmark, A/B test models, or measure accuracy.
- 1h installs
- 1
- GitHub stars
- 65
- Updated
- Oct 20
arize-aiarize-migrate-langfuse
Migrates LLM observability from Langfuse into Arize AX — historical trace import via OTLP (LF output→output.value, sessionId→session.id), datasets, and prompts (latest or versions + labels). Use when migrating from Langfuse to Arize or importing Langfuse observations into AX.
- 1h installs
- 1
- GitHub stars
- 65
- Updated
- Oct 20
arize-aiarize-migrate-langsmith
Migrates LLM observability from LangSmith into Arize AX — historical trace import via OTLP (LS outputs→output.value, session/thread→session.id), datasets, and Prompt Hub prompts (latest or versions). Use when migrating from LangSmith to Arize, importing LangSmith runs into AX, or replacing LangSmith with Arize.
- 1h installs
- 1
- GitHub stars
- 65
- Updated
- Oct 20
arize-aiarize-phoenix-migration
Migrate existing Phoenix (PX) traces, datasets, experiments, and stored evaluation results into Arize AX and verify the imported records. Use when users ask to move or copy historical Phoenix data to AX; not for adding live instrumentation or exporting AX data alone.
- 1h installs
- 1
- GitHub stars
- 65
- Updated
- Oct 20
arize-aiarize-prompt-optimization
Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.
- 1h installs
- 1
- GitHub stars
- 65
- Updated
- Oct 20
arize-aiarize-prompts
INVOKE THIS SKILL for Arize Prompt Hub and ax prompts workflows: author or import templates and save (Workflows A–B), label/promote (C), or list/get/edit/delete/duplicate (D). Use when the user mentions ax prompts, Prompt Hub, creating/editing/saving a prompt, {variable} placeholders, or production/staging labels. For improving prompt text using traces or eval scores, use arize-prompt-optimization. For running experiments, use arize-experiment.
- 1h installs
- 1
- GitHub stars
- 65
- Updated
- Oct 20
manutejgolang-backend-development
Complete guide for Go backend development including concurrency patterns, web servers, database integration, microservices, and production deployment
- 1h installs
- 1
- GitHub stars
- 62
- Updated
- Jun 13
joshuadavidthomasenglish-please
Dude, come on. You write at the density of your own thinking and leave the reader to unpack it. Apply whenever explaining anything to a human — not just end-of-run summaries, every message.
- 1h installs
- 1
- GitHub stars
- 56
- Updated
- Jul 20
joshuadavidthomasfrontend-design-principles
Use when building or reviewing frontend UI — dashboards, admin panels, landing pages, marketing sites, web apps. Drives domain-specific design decisions (typography, color world, layout, CSS token naming, depth and spacing systems) instead of generic AI defaults; routes to app.md (product/data UIs) or marketing.md (public/creative pages) by context.
- 1h installs
- 1
- GitHub stars
- 56
- Updated
- Jul 20
joshuadavidthomasgrug-brained-dev
Use when reviewing PRs, simplifying over-engineered code, judging architecture, or renaming unclear concepts — inline fake helpers, delete meatless ceremony, rename lying names, merge over-split files, reject premature abstraction, say no to speculative config/modes/layers, then end with the smallest safe next change. Triggers when code is too fancy, too abstract, too clever, too many files/helpers/layers, or too well-factored but painful to change. Embody Grug brain: complexity very bad, small
- 1h installs
- 1
- GitHub stars
- 56
- Updated
- Jul 20
joshuadavidthomasimprove
Survey a codebase as a senior advisor and turn the highest-value findings into implementation plans for other agents to execute — strictly read-only on source code, never implements anything itself. Use when asked to audit a codebase, find improvement opportunities (bugs, security, performance, test coverage, tech debt, architecture, migrations, DX), suggest features or roadmap direction, or generate handoff plans for another agent to implement.
- 1h installs
- 1
- GitHub stars
- 56
- Updated
- Jul 20
joshuadavidthomasjj
Jujutsu (jj) — the Git-compatible version control system. Activate ONLY when a .jj/ directory is present in the project or when jj/jujutsu is explicitly mentioned. Do NOT activate for plain git repos without .jj/. Use for any VCS operations in jj-managed projects: commit, push, pull, branch, bookmark, rebase, squash, merge, diff, log, status, working copy, change ID, revset, fileset, template, configuration, workspaces.
- 1h installs
- 1
- GitHub stars
- 56
- Updated
- Jul 20
joshuadavidthomasskill-authoring
Use when authoring, creating, refining, or troubleshooting agent skills — scaffold SKILL.md and frontmatter, write and optimize the trigger description, structure the body with progressive disclosure, validate structure, and test or debug activation. Also when building a new skill from scratch, when a skill won't trigger, loads incorrectly, or the agent ignores it entirely. Use when a skill misbehaved in the current session and needs adjustment based on learnings.
- 1h installs
- 1
- GitHub stars
- 56
- Updated
- Jul 20
joshuadavidthomasstrategic-roadmap
Use when a user asks “what should I work on in this repo?”, “what’s worth doing next?”, repo audit, tech-debt priorities, architecture priorities, old-plan reconciliation, or repo-grounded opportunity discovery. Produces .agents/ROADMAP.md with generated opportunities, user-seeded ideas, Now/Next/Later sequencing, rejected/not-now items, and next-artifact recommendations. Not for standard product/release roadmaps; if multiple repos are requested, create one roadmap per repo.
- 1h installs
- 1
- GitHub stars
- 56
- Updated
- Jul 20
joshuadavidthomassvelte5
Reviews Svelte components for idiomatic patterns, identifies anti-patterns carried over from React/Vue/Svelte 4, and suggests Svelte 5 refactorings. Use when writing or reviewing Svelte components, asking "is this idiomatic", "Svelte way", doing Svelte 5 migration, or encountering smells like: effect assigns state, prop copied to $state, global store by default, $bindable everywhere, clickable div, createEventDispatcher, export let, on:click, slot-shaped APIs, lifecycle-driven code, imperative D
- 1h installs
- 1
- GitHub stars
- 56
- Updated
- Jul 20
joshuadavidthomaswriting-cli-skills
Use when authoring an agent skill that wraps a command-line tool — covers hands-on tool exploration, required vs. recommended sections, installation/usage structure, trigger-rich descriptions, task-grouped commands, progressive disclosure, and a pre-publish checklist. Triggers for CLI / command-line / terminal / shell-command tools and binary wrappers; for review, run the Checklist section.
- 1h installs
- 1
- GitHub stars
- 56
- Updated
- Jul 20
joshuadavidthomaswriting-error-messages
Use when writing, reviewing, or rewriting user-facing error messages, validation messages, form errors, empty/error states, auth errors, failure notifications, retry/support copy, CLI errors, or API errors humans will read. Helps make errors specific, actionable, non-blaming, accessible, and safe without leaking sensitive details.
- 1h installs
- 1
- GitHub stars
- 56
- Updated
- Jul 20
sanity-iocreate-agent-with-sanity-context
Build AI agents with structured access to Sanity content via Sanity Context. Use when setting up a Sanity-powered chatbot, connecting an AI assistant to Sanity content, or adding client-side tools to an agent. Covers MCP endpoint setup in the Context app (GROQ mode over a dataset, or Knowledge Base mode), agent implementation, Insights, and advanced patterns. Always use this skill when users mention building a chatbot with Sanity, creating an AI assistant for their content, setting up the Sanity
- 1h installs
- 1
- GitHub stars
- 7
- Updated
- Oct 20
sanity-iodial-your-context
Interactive session to create Instructions field content for the Sanity Context MCP server. Use this skill whenever users mention tuning agent context, improving agent responses to Sanity data, configuring MCP instructions, setting up content filters, or when their agent gives wrong results from Sanity queries. Also trigger when users say their agent is confused about schema relationships, needs data-specific guidance, or wants to optimize which content the agent can access.
- 1h installs
- 1
- GitHub stars
- 7
- Updated
- Oct 20
vtexarchitecture-well-architected-commerce
Apply when scoping, reviewing, or documenting cross-cutting VTEX commerce architecture across storefront, IO, headless, marketplace, payments, or any other VTEX module. Grounds work in the Well-Architected Commerce framework—Technical Foundation (reliability, trust, integrity; security, infrastructure, compliance), Future-proof (innovation, simplicity, efficiency; scalable and adaptable solutions), and Operational Excellence (accuracy, accountability, data-driven improvement; process and custome
- 1h installs
- 1
- GitHub stars
- 46
- Updated
- Oct 14
vtexfaststore-storefront
Core coding rules and workflow for developing VTEX FastStore storefronts. Use when starting any FastStore development task, writing TypeScript/React components, creating section overrides, extending the BFF, or styling. Covers all primary conventions, safety rules, and the development workflow used across every FastStore project.
- 1h installs
- 1
- GitHub stars
- 46
- Updated
- Oct 14