agentsclimarketplace

Agentica infrastructure

Skill parcadei/Continuous-Claude-v3/.claude/skills/agentica-infrastructure

Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.

Install
npx -y skills add parcadei/Continuous-Claude-v3 --skill agentica-infrastructure

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Reference guide for Agentica multi-agent infrastructure APIs

SKILL.md

3.0 KB, as published. Nobody here has run it

Agentica Infrastructure Reference

Complete API specification for Agentica multi-agent coordination infrastructure.

When to Use

  • Building multi-agent workflows with Agentica patterns
  • Need exact constructor signatures for pattern classes
  • Want to understand coordination database schema
  • Implementing custom patterns using primitives
  • Debugging agent tracking or orphan detection

Quick Reference

11 Pattern Classes

PatternPurposeKey Method
SwarmParallel perspectives.execute(query)
PipelineSequential stages.run(initial_state)
HierarchicalCoordinator + specialists.execute(task)
JuryVoting consensus.decide(return_type, question)
GeneratorCriticIterative refinement.run(task)
CircuitBreakerFailure fallback.execute(query)
AdversarialDebate + judge.resolve(question)
ChainOfResponsibilityRoute to handler.process(query)
MapReduceFan out + reduce.execute(query, chunks)
BlackboardShared state.solve(query)
EventDrivenEvent bus.publish(event)

Core Infrastructure

ComponentFilePurpose
CoordinationDBcoordination.pySQLite tracking
tracked_spawntracked_agent.pyAgent with tracking
HandoffAtomhandoff_atom.pyUniversal handoff format
BlackboardCacheblackboard.pyHot tier communication
MemoryServicememory_service.pyCore + Archival memory
create_claude_scopeclaude_scope.pyScope with file ops

Primitives

PrimitivePurpose
ConsensusVoting (MAJORITY, UNANIMOUS, THRESHOLD)
AggregatorCombine results (MERGE, CONCAT, BEST)
HandoffStateStructured agent handoff
build_premiseStructured premise builder
gather_fail_fastTaskGroup-based parallel execution

Full API Spec

See: API_SPEC.md in this skill directory

Usage Example

from scripts.agentica_patterns.patterns import Swarm, Jury
from scripts.agentica_patterns.primitives import ConsensusMode
from scripts.agentica_patterns.coordination import CoordinationDB
from scripts.agentica_patterns.tracked_agent import tracked_spawn

# Create tracking database
db = CoordinationDB(session_id="my-session")

# Swarm with tracking
swarm = Swarm(
    perspectives=["Security expert", "Performance expert"],
    db=db
)
result = await swarm.execute("Review this code")

# Jury with consensus
jury = Jury(
    num_jurors=3,
    consensus_mode=ConsensusMode.MAJORITY,
    premise="You evaluate code quality",
    db=db
)
verdict = await jury.decide(bool, "Is this code production ready?")

Location

API spec: .claude/skills/agentica-infrastructure/API_SPEC.md Source: scripts/agentica_patterns/

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.