ralstp-consultant

Coding Agents & IDEs
v1.0.1
Benign

Analyze problems using RALSTP (Recursive Agents and Landmarks Strategic-Tactical Planning)

2487 downloads487 installsby @thedragosexperience

Setup & Installation

Install command

clawhub install thedragosexperience/ralstp-consultant

If the CLI is not installed:

Install command

npx clawhub@latest install thedragosexperience/ralstp-consultant

Or install with OpenClaw CLI:

Install command

openclaw skills install thedragosexperience/ralstp-consultant

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/thedragosexperience/ralstp-consultant

What This Skill Does

Applies RALSTP (Recursive Agents and Landmarks Strategic-Tactical Planning), a methodology from a 2024 King's College London PhD thesis, to analyze complex multi-actor problems. Works in two modes: conceptual for natural language problems, and formal for PDDL domain files. Identifies agents, maps dependency chains, measures entanglement, and suggests how to decompose and parallelize work.

Uses a formal planning framework grounded in AI research to surface hidden dependencies and entanglement that informal planning methods typically overlook.

When to Use It

  • Planning a multi-team product launch with sequenced handoffs
  • Analyzing VM migration dependencies across datacenters
  • Mapping task order in emergency response coordination
  • Identifying parallelizable steps in a software deployment pipeline
  • Decomposing cross-functional project workflows with resource contention

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Planning a multi-team product launch with sequenced handoffs

AGENT
  1. 1Planning a multi-team product launch with sequenced handoffs
  2. 2Analyzing VM migration dependencies across datacenters
  3. 3Mapping task order in emergency response coordination
  4. 4Identifying parallelizable steps in a software deployment pipeline
  5. 5Decomposing cross-functional project workflows with resource contention
OUTPUT
Analyze problems using RALSTP (Recursive Agents and Landmarks Strategic-Tactical Planning)

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Last updatedFeb 25, 2026