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- 2026년 4월 8일 04:22
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/DojoGenesis/plugins --skill agentica-infrastructure명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Run a bounded kata roll over the project's bring queue — start a session with an explicit target (reps or minutes), surface and stage exactly one bring per tick, log the outcome only on the human's word, then advance. Use when the user says "start a roll", "roll for N reps", "do a 25-minute roll", "tick", "next rep", "resolve this tick", "skip this tick", or "pause/resume/end the roll".
Set up the kata roll in a project that already runs (or is starting) the bring loop — confirm bring/ exists, explain where the roll's own ledger lives, walk through the opt-in timer, and make the two-plugin coexistence with bring-loop explicit. Use when the user says "set up kata-harness", "install the roll plugin", "add rolls on top of bring-loop", or asks how the timed roll relates to their daily bring.
Produces markdown memory artifacts (conversation summaries, seed files, philosophical reflections, doc updates) and a dated compression log by distilling a long conversation into its essential decisions and learnings. For the lighter, routine end-of-session wrap-up, use `session-compression` instead — this skill is for a long conversation that needs the fuller multi-artifact treatment. Use when: "compress this context", "distill this conversation", "create a memory artifact", "condense this history", "extract key wisdom before handoff".
SOC 직업 분류 기준
SKILL.md 표시 중
| 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/