Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
synthetic-sciences/openscience Design and validate de novo protein binders with the current NVIDIA BioNeMo Agent Toolkit workflow, while adapting honestly when NVIDIA-hosted credentials are unavailable. | Skills | — |
VibiumDev/vibium Independently check application acceptance criteria in a live browser or saved recording with the Vibium CLI. Use for a formal verification step in the development loop, with PASS, FAIL, or INCONCLUSIVE and recorded evidence. | Skills | — |
VibiumDev/vibium Automate browsers with the Vibium CLI. Use to navigate websites, inspect pages, fill forms, extract page data, debug UI behavior, capture screenshots and recordings, or delegate browser goals with vibium run. | Skills | — |
dotnet/macios Review dotnet/macios PRs against established rules. Trigger on "review this PR", a GitHub PR URL, or code review requests. Checks bindings, MSBuild, nullable, formatting, performance, testing, native runtime code, and Apple platform patterns. | Skills | — |
letta-ai/letta-code Reference for writing a Workflow tool script (script API and gotchas, pipeline-vs-barrier rules, quality patterns, worked examples). Load before authoring a script for a workflow the user already opted into; it does not itself authorize running one. | Skills | — |
letta-ai/letta-code Guides work across Cloud, local, and other available computers, including teleporting conversations, running remote subagents, and transferring files. Load when a request needs the user's laptop or another machine's files, apps, or tools; when connecting a computer; or when moving or delegating work between local and Cloud in either direction, including running Cloud subagents from local. | Skills | — |
letta-ai/letta-code Submits user-approved product feedback and bug reports about Letta Code to the Letta team. Load when the user reports a Letta Code bug, requests a product or developer change, or explicitly asks to send feedback. Do not load for corrections to the current agent's behavior or preferences; those are memory edits. Works with cloud-hosted and local agents. Ask before submitting unless the user already explicitly requested submission. | Skills | — |
code-yeongyu/lazycodex ACTIVATES ONLY on an explicit user request for the ulw-plan workflow: the user themselves saying ulw-plan, ulw plan, /skill:ulw-plan, or asking in their own words for a work plan before coding. NEVER self-activates: a bare ulw/ultrawork run, an agent-side routing decision, or reading this file is not a request, and the plan-gated reviewers (metis/momus) stay locked without a user request plus a written .omo/plans plan file. Explore-first planning consultant (Prometheus) that grounds in the codebase, asks only the forks exploration cannot resolve - or researches them to best practice when the intent is fuzzy - waits for explicit approval, then writes ONE decision-complete work plan a worker executes with zero further interview. Triggers: ulw-plan, ulw plan, plan this, make a plan, plan before coding, interview me, break this down, start planning, plan mode. | Skills | |
code-yeongyu/lazycodex Drives a real browser through the omowright library from the js eval kernel: sites the user is already signed into, forms and clicks, JS-rendered pages, screenshots, web QA, extension popups, a human handoff for login, CAPTCHA or OTP, and a browser you own for scraping, bot-scored targets, network capture and QA traces. Use for any interactive browser task; not for a plain search or an unblocked static fetch. | Skills | — |
code-yeongyu/lazycodex Executes a written ulw-plan work plan with Boulder state, evidence ledger, worktree discipline, and parallel subagents. Use when the user says ulw-execute or asks to run a .omo/plans plan. | Skills | — |
code-yeongyu/lazycodex Processes and analyzes data with resident-kernel engines (DuckDB, Polars) and one-shot tools. Use for CSV/parquet/JSON analysis, group-by/join/aggregation, time series, distributions, cleaning, or plotting a dataset. | Skills | — |
code-yeongyu/lazycodex A goal-like loop that decomposes work into systematic, evidence-bound ultrawork steps. Use when the user wants a goal loop or durable, checkpointed execution. | Skills | — |
code-yeongyu/lazycodex Create a high-signal bug issue or PR in the repo that owns the defect. Use this whenever the user asks to report, file, open, or triage a LazyCodex, lazycodex-ai, omo-codex, Codex plugin, or upstream Codex CLI bug, especially when they need source-backed root cause, reproduction steps, fix guidance, and GitHub routing. | Skills | — |
code-yeongyu/lazycodex Diagnose LazyCodex and Codex CLI installation health against the latest sources. Use whenever the user asks for a doctor or health check, says LazyCodex, lazycodex-ai, omo-codex, or Codex behaves oddly after an install, update, or config change, suspects a stale, drifted, or broken setup, or wants the local install audited and compared with the latest LazyCodex and Codex code. | Skills | — |
code-yeongyu/lazycodex Contribute a verified bug fix for LazyCodex, lazycodex-ai, omo-codex, bundled Codex skills, or upstream Codex CLI bugs. Opens a fork PR only for upstream openai/codex; LazyCodex-owned defects become a verified-fix issue on code-yeongyu/lazycodex (never a PR — that repo is a generated distribution mirror). Use when the user asks to fix a bug, contribute a bug fix, contribute to fix bug, open a PR for a bug, or debug and PR a LazyCodex/Codex defect. | Skills | — |
code-yeongyu/lazycodex Binding ultrawork mode directive for omo on Codex. When a prompt contains ultrawork or ulw, the omo UserPromptSubmit hook injects a short bootstrap that points at this file. Read the whole file and follow every rule in it for the rest of the task. | Skills | — |
bradygaster/squad Defensive CI/CD patterns: semver validation, token checks, retry logic, and draft detection | Skills | — |
bradygaster/squad Route gh-aw workflow design/create/debug/upgrade requests to the right prompts. | Skills | — |
bradygaster/squad Shared hard rules enforced across all squad agents | Skills | |
Chachamaru127/claude-code-harness Team execution mode (Codex host) — backward-compatible alias for harness-work with backend selection, including opt-in Cursor worker delegation. Composer/composer 2.5 maps to the cursor backend. | Skills |
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