Skills, prompts, AGENTS.md files and MCP servers that Codex reads. Skills are shared with Claude Code; the rest is Codex-native. 281,573 indexed, measured the same four ways as everything else here.
Locate objects with a running PerceptionLocalize stack over MCP (state, localize) - probe the machine, build the time window, watch labels on a schedule, narrow an object's position, change params per call, and tell where a failure comes from. Use whenever a blueprint with PerceptionLocalize and McpServer runs, such…
Lets the agent drive a real browser: open pages, click, type, take screenshots and read the accessibility tree, using Playwright. Runs locally from the @playwright/mcp npm package.
This skill should be used when the user asks to "identify web application vulnerabilities", "explain common security flaws", "understand vulnerability categories", "learn about injection attacks", "review access control weaknesses", "analyze API security issues", "assess security misconfigurations", "understand…
★not rated 4.7k▲
+10 3d agoASkillSpector: pass114 tokens
originalMIT
Use when creating, extending, refactoring, splitting, or reviewing League Akari main or renderer shards, including shard file organization, controller/loader/executor/handler boundaries, naming conventions, renderer TSX usage, platform guards, and public contract compatibility.
Evaluate arithmetic expressions and return numeric results. Use when a user asks an arithmetic question, requests calculation, or provides a math expression involving numbers, parentheses, and arithmetic operators.
Review code changes in Memgraph's storage layer, including MVCC, concurrency patterns, WAL, recovery, DDL operations, index/constraint management, delta chains, and skip list operations. Invoke for pull requests or changes to src/storage/v2/.
MCP server "Unity-MCP" as configured in IvanMurzak/Unity-MCP. Runs in Docker (docker.io/ivanmurzakdev/unity-mcp-server:0.17.1). Needs 3 environment variables to run.
★not rated 4.6k▲
+29 yesterdayA
tokens not measured
originalApache-2.0
Manage persistent memory via OpenMemory MCP. TRIGGER when: user says "remember this", "save to memory", "store this", "recall", "what do you remember about", "check memory", "forget this", "delete memory", "clean up memory", or when agent forms a stable conclusion worth persisting. DO NOT TRIGGER when: user refers to…
Authors, validates, and troubleshoots Dagu DAG definitions and assists with Dagu CLI operations. Use when creating or debugging DAG YAML, choosing Dagu commands, or inspecting and managing DAGs and runs from the CLI.
Use when: a Flint chart should respond to the reader (highlight, zoom, brush, legend toggle, reorder, annotate, explore, link charts); an application or an agent changes a mounted chart from outside or reads what it shows; or a gesture no preset gives must be built. Produce one valid interactionspec, one ChartUpdate…
Creates, forks, authors, validates, publishes, updates, versions, pulls, archives, restores, transfers, and manages co-authors for Observal Agents. Use when the user wants to build or install an Agent, change an Agent definition, publish a draft, release a version, or manage Agent ownership.
An MCP server skill for managing Kubernetes sandboxes. Enables creating, executing commands, managing files, and terminating instances via the official kubernetes-sigs/agent-sandbox MCP server.
Analyze a complete literary work into a structured Basic Memory knowledge graph: schema design, entity seeding, chapter-by-chapter processing, cross-referencing, and validation.
Build and maintain Ruby or Rails applications with the RubyLLM AI framework. Use for chats, agents, tools, MCP servers, structured output, judgments, evaluations, media generation, transcription, OCR, moderation, embeddings, reranking, tracing, Rails integration, and RubyLLM upgrades; not for contributing to the…
A production workflow for making multi-episode AI short dramas, covering story planning, character consistency, scripts, generated video shots, voices, sound, subtitles, and final assembly.
Store a lesson learned from the current conversation. Triggered by /lesson command. Use when Master signals that the recent conversation contains a pitfall, fix, or key insight that should be persisted to long-term memory.
Use for visual design direction on greenfield, user-facing surfaces — marketing and landing pages, generated apps, portfolio-style or standalone pages. NOT for routine Archestra platform UI work (dashboards, data tables, settings, forms, existing components) — use archestra-dev-frontend for that. Upstream intent…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: