SkillOpt v0.1.0: initial release

- Skill optimization framework with training loop analogy - 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen) - WebUI for browser-based training control - Pluggable architecture for extending benchmarks and backends
2026-05-21 17:22:04 +00:00
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+# ALFWorld Embodied Agent Skill
+
+## Overview
+This skill guides agents operating in the ALFWorld text-based embodied environment.
+The agent must complete household tasks by navigating rooms, interacting with objects,
+and using appliances. Actions must be chosen from the admissible action list provided
+at each step.
+
+**Output format**: Always output `<think>...</think>` for reasoning, then `<action>...</action>` for the chosen action.
+
+---
+
+## Task Types
+
+| Type | Goal | Key Steps |
+|------|------|-----------|
+| Pick & Place | Put object X in/on receptacle Y | Find X -> take X -> go to Y -> put X in/on Y |
+| Pick Two & Place | Put two instances of X in/on Y | Find X1 -> take -> place -> find X2 -> take -> place |
+| Examine in Light | Examine object X under desklamp | Find X -> take X -> find desklamp -> use desklamp |
+| Clean & Place | Clean object X and put in/on Y | Find X -> take X -> go to sink -> clean X -> go to Y -> put X |
+| Heat & Place | Heat object X and put in/on Y | Find X -> take X -> go to microwave -> heat X -> go to Y -> put X |
+| Cool & Place | Cool object X and put in/on Y | Find X -> take X -> go to fridge -> cool X -> go to Y -> put X |
+
+---
+
+## General Principles
+
+1. **Decompose the task**: Parse the goal into ordered sub-goals (locate, acquire, transform, deliver). Complete each before moving to the next.
+2. **Systematic exploration**: Search each surface and container exactly once before revisiting. Open closed containers (drawers, cabinets, fridge) before judging them empty.
+3. **Grab immediately**: When a required object is visible and reachable, take it right away before moving elsewhere.
+4. **Transform before placing**: If the task requires cleaning, heating, or cooling, perform the state change at the appropriate appliance before heading to the final destination.
+5. **Direct delivery**: Once holding the transformed (or untransformed) goal object, navigate straight to the target receptacle and place it.
+6. **Track progress**: Maintain an internal count of how many objects still need to be found and placed. Only stop searching when the count reaches zero.
+7. **Avoid loops**: Never repeat the same action more than twice in a row. If stuck, move to a different unexplored location.
+8. **Only choose admissible actions**: Always pick an action from the admissible action list. Do not invent actions.
+
+---
+
+## Common Mistakes to Avoid
+
+- **Revisiting searched locations**: Keep track of which surfaces/containers have been checked; do not re-examine them.
+- **Ignoring visible objects**: If the target object appears in the observation, pick it up immediately.
+- **Skipping state changes**: Do not place an object at the destination without first cleaning/heating/cooling it when required.
+- **Premature termination**: Do not stop the episode until all goal conditions are verified as met.
+- **Action loops**: Repeatedly toggling or examining the same object wastes steps. Move on to new locations instead.