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putervisionputervision/state-memory-mcp/.agents/skills/agent-reasoning-mcp/SKILL.md

agent-reasoning-mcp

Skill114 starsChanged 47 days agoMITView on GitHub

Teaches the agent to use the Strategic Agent Reasoning MCP server for BDI goals, utility scoring, risk evaluation, and replanning.

4 other projects use a version of this, 4 of them edited.

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The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 4 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Initialize Objectives: Call set_goal with action: "create" to define top-level goals and action: "decompose" to establish subgoals.

    line 22
  2. Very specific:

    Situational Trade-off Scoring: Call evaluate_situation with action: "snapshot" to rank candidate actions using Pareto utility theory.

    line 24
  3. Very specific:

    Reactive Replanning: If an unexpected obstacle or blocker emerges, invoke replan.

    line 26

“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Strategic Agent Reasoning (agent-reasoning-mcp)

This skill provides step-by-step guidance and operational patterns for interacting with @putervision/agent-reasoning-mcp with project slug "state-memory-mcp".

1. Role in the PuterVision Pentad

  • Workflow State (state-memory-mcp): Persistent task DAGs, decisions, milestones, and blockers.
  • Perception (vision-memory-mcp): Visual layout caching, screenshots, and visual specifications.
  • Spatial World (world-model-mcp): Persistent 3D/2D coordinates, bounding boxes, and topological relations.
  • Strategic Reasoning (agent-reasoning-mcp): BDI goal decomposition, multi-attribute expected utility calculation, belief decay, risk assessment, and replanning.
  • Tactical Execution (behavior-mcp): Deterministic ~60Hz browser behavior tree execution and reactive preemption.

2. Core Operational Sequence

  1. Initialize Objectives: Call set_goal with action: "create" to define top-level goals and action: "decompose" to establish subgoals.
  2. Configure Utility Profile: Tune agent priorities using set_utility_weights (aggression, caution, greed, exploration).
  3. Situational Trade-off Scoring: Call evaluate_situation with action: "snapshot" to rank candidate actions using Pareto utility theory.
  4. Intention Dispatch: Translate chosen action into an execution directive via manage_intentions.
  5. Reactive Replanning: If an unexpected obstacle or blocker emerges, invoke replan.

3. Complete 10 Consolidated MCP Tools Reference

Tool NameKey ActionsKey ParametersDescription
set_goalcreate, update, get, list, decompose, archivetitle, description, priority, parent_id, subgoalsHierarchical BDI goal management and task DAG decomposition.
evaluate_situationsnapshot, quicksnapshot, candidates, utility_profileMulti-attribute utility evaluation ranking candidate actions from environment state.
replanblocker, recovery, alternativegoal_id, blocker_description, strategyAdaptive DAG reconstruction and alternative path discovery upon obstacles.
assess_riskassess, matrixhazards, tolerance, mitigationsQuantitative threat matrix and probabilistic risk scoring.
query_knowledgesearch, lookup, heuristicsquery, category, tagsKnowledge retrieval of past decision heuristics and domain heuristics.
set_utility_weightsconfigure, get, list, profilename, weights (aggression, caution, greed, exploration)Utility weight tuning and personality profile management.
get_decision_traceget, list, explaintrace_id, limitExplainable chain-of-thought rationale playback and auditing.
manage_beliefsset, get, decay, listkey, value, confidence, decay_rateStructured belief state with temporal exponential confidence decay.
manage_intentionscreate, get, list, dispatch, cancelgoal_id, behavior_name, parametersExecution directives queue connecting strategic plans to runtime engines.
manage_reasoning_dbstats, audit, snapshot, restore, pruneaction, name, descriptionDatabase diagnostics, snapshots, and SHA-256 Merkle audit verification.

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