trace-claude-code
Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.
Reference guide for Agentica multi-agent infrastructure APIs
$ npx -y skills add parcadei/Continuous-Claude-v3 --skill agentica-infrastructure --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/agentica-infrastructureContext preview
The summary Claude sees to decide when to auto-load this skill.
Reference guide for Agentica multi-agent infrastructure APIs
name: agentica-infrastructure description: Reference guide for Agentica multi-agent infrastructure APIs allowed-tools: [Read] user-invocable: false
Complete API specification for Agentica multi-agent coordination infrastructure.
| Pattern | Purpose | Key Method | |---------|---------|------------| | `Swarm` | Parallel perspectives | `.execute(query)` | | `Pipeline` | Sequential stages | `.run(initial_state)` | | `Hierarchical` | Coordinator + specialists | `.execute(task)` | | `Jury` | Voting consensus | `.decide(return_type, question)` | | `GeneratorCritic` | Iterative refinement | `.run(task)` | | `CircuitBreaker` | Failure fallback | `.execute(query)` | | `Adversarial` | Debate + judge | `.resolve(question)` | | `ChainOfResponsibility` | Route to handler | `.process(query)` | | `MapReduce` | Fan out + reduce | `.execute(query, chunks)` | | `Blackboard` | Shared state | `.solve(query)` | | `EventDriven` | Event bus | `.publish(event)` |
| Component | File | Purpose | |-----------|------|---------| | `CoordinationDB` | `coordination.py` | SQLite tracking | | `tracked_spawn` | `tracked_agent.py` | Agent with tracking | | `HandoffAtom` | `handoff_atom.py` | Universal handoff format | | `BlackboardCache` | `blackboard.py` | Hot tier communication | | `MemoryService` | `memory_service.py` | Core + Archival memory | | `create_claude_scope` | `claude_scope.py` | Scope with file ops |
| Primitive | Purpose | |-----------|---------| | `Consensus` | Voting (MAJORITY, UNANIMOUS, THRESHOLD) | | `Aggregator` | Combine results (MERGE, CONCAT, BEST) | | `HandoffState` | Structured agent handoff | | `build_premise` | Structured premise builder | | `gather_fail_fast` | TaskGroup-based parallel execution |
See: `API_SPEC.md` in this skill directory
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?")API spec: `.claude/skills/agentica-infrastructure/API_SPEC.md` Source: `scripts/agentica_patterns/`
A persistent, learning, multi-agent development environment built on Claude Code Continuous Claude transforms Claude Code into a continuously learning system that maintains context across sessions, orchestrates specialized agents, and eliminates wasting
Repo: parcadei/Continuous-Claude-v3
Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.
Guide for integrating Agentica SDK with Claude Code CLI proxy
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity