Agent Building skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

scienceworld-task-interpreter

This skill parses a user's high-level scientific task in the ScienceWorld environment and extracts the core objective and target location. It should be triggered when a new task instruction is received, especially those involving finding, comparing, or manipulating objects. The skill interprets the query to identify the goal (e.g., 'find the animal with the shortest life span') and any specified locations (e.g., 'animals are in the outside location'), outputting a clear, actionable sub-goal for navigation or observation.

147 repo starsObserved in 3 repos

Agent Building

GitHub

alfworld-object-retriever

This skill picks up a target object from a specified receptacle after the object has been visually confirmed. Use this skill when the agent has located an object in a receptacle and needs to acquire it. It requires the object and source receptacle as inputs and results in the object being added to the agent's inventory.

147 repo starsObserved in 2 repos

Agent Building

GitHub

alfworld-receptacle-opener

This skill opens a closed receptacle to allow access to its contents or to enable interaction with it. It should be triggered when the agent encounters a closed receptacle (e.g., 'The fridge 1 is closed.') that must be opened to proceed with a task, such as cooling an item with a fridge or taking an object from inside a cabinet. The skill outputs the 'open' action on the specified receptacle.

147 repo starsObserved in 2 repos

Agent Building

GitHub

alfworld-receptacle-navigator

This skill plans and executes movement to a target receptacle within the environment. It should be triggered when the agent needs to interact with an object at a specific location (e.g., go to fridge to cool an item) or needs to access a receptacle itself (e.g., go to garbagecan to dispose of an item). The skill uses the receptacle name from the observation or task goal, outputs the 'go to' action, and confirms arrival at the destination.

147 repo starsObserved in 1 repos

Agent Building

GitHub

scienceworld-task-focuser

This skill directs the agent's attention to a specific object, either in the environment or inventory, to signal intent or prepare for an operation. It should be triggered before performing a critical action on an object, such as measuring or using it, to ensure the agent is properly aligned with the task. The skill outputs a confirmation of focus, which often is required for subsequent interactive steps in experimental procedures.

147 repo starsObserved in 1 repos

Agent Building

GitHub

ensure-agents-md

**Run FIRST (before any other skill or task)** when workspace root has no AGENTS.md and the repo is an AEM 6.5 LTS (on-prem or Adobe Managed Services) project. Creates AGENTS.md and CLAUDE.md (tailored via pom.xml). Applies on every user request until AGENTS.md exists — not only the first chat. Never overwrites existing files.

146 repo starsObserved in 2 repos

Agent Building

GitHub

agent-teams-playbook

Cross-runtime Agent Teams orchestration playbook for Claude Code, Codex, OpenClaw, and Cursor. This skill should be used when the user asks to "create agent teams", "use agent swarm", "setup multi-agent collaboration", "orchestrate agents", "coordinate parallel agents", "organize team collaboration", "build agent teams", "implement swarm orchestration", "setup multi-agent system", "coordinate agent collaboration", or needs guidance on adaptive team formation, quality gates, skill discovery, task distribution, team coordination strategies, or Agent Teams best practices. 或者当用户说"多agent"、"agent协作"、"agent编排"、"并行agent"、"分工协作"、"拉团队"、"拉个团队"、"多代理协作"、"swarm编排"、"agent团队"时也应使用此技能。Note: "swarm/蜂群" is a generic industry term; Claude Code's official concept is "Agent Teams"; Codex, OpenClaw, and Cursor should map this playbook to their native or host-provided agent capabilities without deleting any workflow stage.

146 repo starsObserved in 1 repos

Agent Building

GitHub

feature-codex-spectre-implementation

Use when modifying the Codex SPECTRE install flow, SessionStart continuity, project skill syncing, registry injection, or Codex-specific runtime files.

146 repo starsObserved in 1 repos

Agent Building

GitHub

goalpro

当用户要写出高质量 Goal Prompt 和交付后继续进化用的 Loop Prompt，把模糊、战略性、多步骤、证据不足、持续/自动化或容易跑偏的请求整理成可执行、可验证、可暂停且带时间参数的目标契约时使用。适用于写 goal、优化任务提示词、明确 done/success criteria、deep research 后定战略、大改前 inventory、修复跑偏计划、识别可委托的重复 workflow、为 Codex 或 Claude Code 准备执行任务；默认只生成提示词，不执行 goal 或 loop，也不创建自动化。

146 repo starsObserved in 1 repos

Agent Building

GitHub

harness-engineering-guide

Audit, design, and implement AI agent harnesses for any codebase. A harness is the constraints, feedback loops, and verification systems surrounding AI coding agents — improving it is the highest-leverage way to improve AI code quality. Three modes: Audit (scorecard), Implement (set up components), Design (full strategy). Use whenever the user mentions harness engineering, agent guardrails, AI coding quality, AGENTS.md, CLAUDE.md setup, agent feedback loops, entropy management, AI code review, vibe coding quality, harness audit, harness score, AI slop, agent-first engineering. Also trigger when users want to understand why AI agents produce bad code, make their repo work better with AI agents, set up CI/CD for agent workflows, design verification systems, or scale AI-assisted development. Proactively suggest when discussing AI code drift or controlling AI-generated code quality.

146 repo starsObserved in 1 repos

Agent Building

GitHub