用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/DojoGenesis/plugins --skill agentica-infrastructure命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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".
基于 SOC 职业分类
正在显示 SKILL.md
| 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/