agent-goal-planner
Agent skill for goal-planner - invoke with $agent-goal-planner
Install with Tessl CLI
npx tessl i github:ruvnet/claude-flow --skill agent-goal-planner28
Does it follow best practices?
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npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Evaluation results
89%
34%Warehouse Logistics Planner
GOAP planner with A* search and typed state
A* search present
100%
100%
Explicit preconditions
33%
100%
Explicit effects
33%
100%
Action cost values
100%
100%
Goal decomposition
53%
66%
Typed/structured state
20%
40%
Optimal plan selection
100%
100%
At least 4 action types
0%
100%
Without context: $0.3879 · 1m 59s · 14 turns · 19 in / 7,996 out tokens
With context: $0.5666 · 2m 18s · 21 turns · 26 in / 9,658 out tokens
83%
22%Microservice Migration Planning Document
State assessment, OODA loop, and adaptive replanning plan
Explicit current state
87%
100%
Explicit goal state
62%
100%
Gap analysis
25%
75%
Action preconditions
75%
100%
Action effects
58%
75%
OODA loop section
20%
40%
Replanning scenarios
66%
100%
Goal decomposition milestones
91%
100%
Action cost/priority
70%
70%
Without context: $0.4656 · 3m 22s · 16 turns · 22 in / 10,168 out tokens
With context: $0.5840 · 3m 21s · 24 turns · 514 in / 10,066 out tokens
90%
22%Adaptive CI/CD Orchestration System
Mixed execution, continuous learning, and novel action combinations
Failure detection and replanning
66%
100%
Recalculate from new state
50%
100%
Deterministic step type
100%
100%
Reasoning step type
83%
83%
Strategy outcome tracking
91%
100%
Feedback-based strategy ranking
83%
100%
Tool/capability mapping
40%
40%
Novel action combinations
70%
80%
Step preconditions and outcomes
22%
100%
Without context: $0.5104 · 2m 40s · 13 turns · 16 in / 10,200 out tokens
With context: $0.7996 · 3m 22s · 32 turns · 38 in / 12,355 out tokens
- Evaluated
- Agent
- Claude Code
Table of Contents
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