New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Alfworld Goal Interpreter

by zjunlp in zjunlp/SkillNet

Parses the natural language task goal to extract actionable sub-objectives and required objects.

MITAuto-check passedAgent Workflows

Install Alfworld Goal Interpreter

skills CLI
$ npx skills add zjunlp/SkillNet --skill alfworld-goal-interpreter -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zjunlp/SkillNet alfworld-goal-interpreter --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experiments/src/skills/alfworld/alfworld-goal-interpreter .claude/skills/alfworld-goal-interpreter && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
alfworld-goal-interpreter
GitHub stars
1.4k
Token cost
~575 tokens
SKILL.md length
267 words
Files
2 (incl. references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

Parses the natural language task goal to extract actionable sub-objectives and required objects.

  • Works in 4 steps: Parse the Task Statement → Generate Sub-Objectives → Identify Required Objects & Actions → …
  • This skill whenever a new task is assigned to break down complex instructions into clear
  • SKILL.md covers 1. Parse the Task Statement, 2. Generate Sub-Objectives, 3. Identify Required Objects &… and 4. Execute & Adapt
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Alfworld Goal Interpreter is an agent skill from zjunlp/SkillNet. Parses the natural language task goal to extract actionable sub-objectives and required objects. Trigger this skill whenever a new task is assigned to break down complex instructions into clear, sequential targets. It interprets phrases like 'look at X under Y' to identify target objects (pillow), reference objects (desklamp), and spatial relationships (under).

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/search_patterns.md`).

It sits in Agent Workflows. The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.

When your agent uses it

  • This skill whenever a new task is assigned to break down complex instructions into clear
  • Sequential targets

Example prompts

  • “look at X under Y”
  • “Use the alfworld-goal-interpreter skill to parse the natural language task goal to extract actionable sub-objectives and required objects”
  • “/alfworld-goal-interpreter”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Parse the Task Statement
  2. Generate Sub-Objectives
  3. Identify Required Objects & Actions
  4. Execute & Adapt

What it can do on your machine

Read from SKILL.md and the folder at commit c527136. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Alfworld Goal Interpreter loads about 575 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 267 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~575
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zjunlp/SkillNet at commit c527136, republished under its MIT licence (© zjunlp). 267 words, ~575 tokens.

Download SKILL.mdSave it as .claude/skills/alfworld-goal-interpreter/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
alfworld-goal-interpreter
description
Parses the natural language task goal to extract actionable sub-objectives and required objects. Trigger this skill whenever a new task is assigned to break down complex instructions into clear, sequential targets. It interprets phrases like 'look at X under Y' to identify target objects (pillow), reference objects (desklamp), and spatial relationships (under).

Goal Interpretation Protocol

1. Parse the Task Statement

When a new task is assigned, immediately analyze the natural language instruction to extract its core components. Use the parsing script (parse_goal.py) to perform this analysis.

Input: The raw task string (e.g., "look at pillow under the desklamp"). Output: A structured dictionary containing:

  • primary_target: The main object to interact with.
  • reference_object: The object that defines a location or condition.
  • spatial_relation: The preposition linking them (e.g., under, on, in).
  • action: The verb defining the required interaction.

2. Generate Sub-Objectives

Based on the parsed components, formulate a clear, sequential plan. The plan must account for the spatial relationship.

Example Logic:

  • IF relation is under → Sub-goal 1: Locate the reference_object. Sub-goal 2: Inspect the area beneath it for the primary_target.
  • IF relation is in or on → Sub-goal 1: Locate the reference_object. Sub-goal 2: Check its contents/surface.

3. Identify Required Objects & Actions

Map the parsed objects to the available action types in the environment. The primary action verbs (look, take, use, etc.) from the task must be translated into the agent's available action set (go to, take, use, etc.).

Critical Check: If the reference_object is a container (drawer, fridge), ensure the plan includes the open action before inspection.

4. Execute & Adapt

Initiate the plan. After each action, monitor the observation. If the expected object is not found, or the action fails ("Nothing happened"), consult the fallback logic in the reference guide (search_patterns.md).

Remember: The agent must maintain object permanence. If an object is moved (e.g., a pillow is picked up), it is now in the agent's inventory and the spatial relationship is void.

© zjunlp, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in experiments/src/skills/alfworld/alfworld-goal-interpreter of zjunlp/SkillNet.

  • SKILL.md
  • references/search_patterns.md

Open the folder on GitHubat commit c527136

Compare with similar skills

Alfworld Goal Interpreter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Alfworld Goal Interpreter compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Alfworld Goal Interpreter this skillzjunlp/SkillNet1.4k—~575Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k36 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79689 repos~8.2kAutomated safety check: PassApache-2.0

Similar skills

  • MCP Server Builder

    anthropics/skills

    Official

    Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.

    180k GitHub starsUsed in 63 repos~2.3k tokens
    Agent WorkflowsAuto-check passed

  • Hook Development for Claude Code Plugins

    anthropics/claude-plugins-official

    Official

    Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.

    38k GitHub starsUsed in 10 repos~4.1k tokens
    Agent WorkflowsAuto-check: notes

  • Using Superpowers

    farm-fe/farm

    A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

    5.6k GitHub starsUsed in 36 repos~1.4k tokens
    Agent WorkflowsAuto-check passed

  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    297k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed

  • Skill Creator

    Azure/azqr

    Official

    Create new skills, modify and improve existing skills, and measure skill performance.

    796 GitHub starsUsed in 89 repos~8.2k tokens
    Agent WorkflowsAuto-check passed

  • Claude Code Agent Development

    anthropics/claude-plugins-official

    Official

    Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.

    38k GitHub starsUsed in 7 repos~2.8k tokens
    Agent WorkflowsAuto-check passed

More from zjunlp/SkillNet

All 122 skills in this repo

  • Skillnet

    zjunlp/SkillNet

    Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet.

    1.4k GitHub stars~1.5k tokensUpdated 2 days ago
    Auto-check passed

  • Alfworld Receptacle Searcher

    zjunlp/SkillNet

    This skill searches for a specific receptacle (e.g., garbage can, cabinet) by systematically exploring the environment, checking multiple locations until found.

    1.4k GitHub stars~709 tokensUpdated 2 days ago
    Auto-check passed

  • Alfworld Appliance Preparer

    zjunlp/SkillNet

    Prepares a household appliance (microwave, oven, toaster, fridge) for use by ensuring it is in the correct open/closed state.

    1.4k GitHub stars~611 tokensUpdated 2 days ago
    Auto-check passed

  • Alfworld Device Operator

    zjunlp/SkillNet

    Operates a device or appliance (like a desklamp, microwave, or fridge) to interact with another object.

    1.4k GitHub stars~916 tokensUpdated 2 days ago
    Auto-check passed

  • Alfworld Environment Scanner

    zjunlp/SkillNet

    Performs an initial scan of the ALFWorld environment to identify all visible objects and receptacles.

    1.4k GitHub stars~786 tokensUpdated 2 days ago
    Auto-check passed

  • Alfworld Heat Object With Appliance

    zjunlp/SkillNet

    Uses a heating appliance (microwave, stoveburner, oven) to apply heat to a specified object.

    1.4k GitHub stars~744 tokensUpdated 2 days ago
    Auto-check passed

Categories

Questions about Alfworld Goal Interpreter

What does Alfworld Goal Interpreter do?

Parses the natural language task goal to extract actionable sub-objectives and required objects. Alfworld Goal Interpreter is an agent skill from zjunlp/SkillNet. Parses the natural language task goal to extract actionable sub-objectives and required objects.

When should I use Alfworld Goal Interpreter?

Alfworld Goal Interpreter fits situations like: this skill whenever a new task is assigned to break down complex instructions into clear; sequential targets.

How do I install Alfworld Goal Interpreter in Claude Code?

Run `npx skills add zjunlp/SkillNet --skill alfworld-goal-interpreter -a claude-code`. Or copy the skill folder (experiments/src/skills/alfworld/alfworld-goal-interpreter in zjunlp/SkillNet) into .claude/skills/alfworld-goal-interpreter in your project. Claude Code loads it when a task matches its description.

How do I install Alfworld Goal Interpreter in Codex?

Run `npx skills add zjunlp/SkillNet --skill alfworld-goal-interpreter -a codex`. Or copy the skill folder (experiments/src/skills/alfworld/alfworld-goal-interpreter in zjunlp/SkillNet) into .agents/skills/alfworld-goal-interpreter in your project. Codex loads it when a task matches its description.

Can I use Alfworld Goal Interpreter in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zjunlp/SkillNet --skill alfworld-goal-interpreter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alfworld-goal-interpreter, .gemini/skills/alfworld-goal-interpreter, .github/skills/alfworld-goal-interpreter and .opencode/skills/alfworld-goal-interpreter in your project.

What does Alfworld Goal Interpreter need to run?

SKILL.md names no scripts, command-line tools or credentials: Alfworld Goal Interpreter is instructions for the agent only.

Does Alfworld Goal Interpreter access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Alfworld Goal Interpreter safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Alfworld Goal Interpreter use?

Alfworld Goal Interpreter is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Alfworld Goal Interpreter use?

About 575 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 515 tokens, read only when the agent opens those files.

What are the alternatives to Alfworld Goal Interpreter?

Skills that share tags, products or a category with Alfworld Goal Interpreter: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Alfworld Goal Interpreter?

zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,397 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 9, 2026.

Source: zjunlp/SkillNet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.