By s0912758806p
Convert human Standard Operating Procedures into deterministic, gated agentic workflows with hard gates, human approval, and automated audit reports. Includes a regression gate that validates task boundaries, I/O contracts, and success criteria to prevent mega-agent drift.
Methodology + entry point to turn a human SOP into a deterministic, gated, human-approved agentic workflow — build/extend agent tools and design the SOP->Skill->Workflow decomposition with hard gates. | 把人工流程/Human SOP 轉成「確定性引擎 + 誠實硬閘門 + 人核准」的 agentic workflow 時的方法論與落地入口——適用任何專案、尤其未來新開發項目。當使用者要把一份人工 SOP/手動流程自動化、建立或新增 agent 工具、設計 SOP→Skill→Workflow 的拆解與閘門、或開一個新的 agent 工作流專案時,主動套用本技能:它給三階段拆解規則、七階段迴圈、跨專案鐵則(不臆造/DRAFT+人核准/確定性用程式/硬閘門確定性),並指示導入可攜的 agentic-sop-kit(含自動回歸 Stop-hook=真正的強制層)。即使沒講「方法論」或「SOP」,只要意圖是把流程工程化成自動代理工作流就應觸發。不適用:稽核/檢視既有工作流是否退化成 mega agent(改用 agentic-workflow-audit);直接執行既有 GMP 產生器(cr-form-gen/lir-mir-draft/template-doc-gen)。
Read-only auditor that judges whether a project is a truly decomposed agentic workflow or a disguised mega-agent (task boundaries, I/O contracts, programmatic success criteria, per-step SOPs, control-flow ownership, failure rollback). | 稽核一個專案是否真正採用「拆解式 agentic workflow」——把流程拆成一串有明確邊界的小 Task、每步有獨立 SOP、步驟間有 input/output 契約、有可程式化檢查的成功標準、失敗時能帶錯誤上下文回退自我修復——而不是一個偽裝成模組化、實際上控制流全攪在一起的 mega agent。只要使用者要你檢視、檢查、稽核、review 一個 agent / LLM pipeline 的架構,或問「我的 workflow 有沒有拆好」「是不是偷偷變成 mega agent 了」「task 邊界 / SOP / 成功標準對不對」「我的 agent 設計合不合理」,就使用本技能——即使他沒講出「稽核」兩個字,任何要評估 agent 系統結構、模組化程度或控制流的請求都應觸發本技能。
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Turn human SOPs into deterministic, gated, human-approved agentic workflows — no fabrication, no "mega-agent" rot. 把人工 SOP 變成「確定性引擎 + 誠實硬閘門 + 人核准」的 agentic workflow——不臆造、不退化成 mega agent。
/plugin marketplace add s0912758806p/agentic-sop-to-work
/plugin install agentic-sop-kit@agentic-sop-to-work
/reload-plugins
flowchart LR
SOP["📄 Human SOP"]
SK["🔧 single-tool skills<br/>one tool · I/O contract"]
RUN["⚙️ run.py<br/>steps · branch · map · --plan"]
G{{"🚦 per-step gate<br/>cmd · schema · trace · recompute"}}
DR["📝 DRAFT"]
OK(["✋ human approval"])
STOPN["✗ stop & fix"]
REG[["🔁 Stop-hook regression<br/>change → tests → block & fix"]]
SOP -- decompose --> SK
SK -- orchestrate --> RUN
RUN --> G
G -- pass --> DR
DR --> OK
G -- fail --> STOPN
REG -. guards every change .-> SK
style OK fill:#E8F5E9,stroke:#2E7D32,color:#1B5E20
style G fill:#FFF8E1,stroke:#F9A825
style REG fill:#FFEBEE,stroke:#C62828,color:#B71C1C
Human SOP → single-tool skills → orchestrated flow (gated · branch · map) → DRAFT → human approval; a Stop-hook regression gate guards every change.
Human SOP → 單一工具 skill → 編排流程(閘門・分支・map)→ DRAFT → 人核准;Stop-hook 回歸閘門守住每次變更。
What. agentic-sop-kit turns a process you do by hand (a "Human SOP") into an agentic workflow an LLM can run safely and repeatably. A methodology + portable toolkit — not a chatbot. Built for regulated / high-stakes / must-be-correct work.
Why it's safe — it blocks the predictable LLM failures:
【待補】, never invented.What you get
| 2 Skills (auto-trigger by intent) | agentic-sop — methodology + entry point · agentic-workflow-audit — read-only mega-agent auditor |
Command /agentic-sop-kit:sop-flow | runs the kit's orchestration, reports a DRAFT |
| Hooks (project-scoped) | SessionStart dep-check · Stop regression gate — no-op until a project adopts the kit |
Portable kit kit/ | copy-into-any-project methodology + runnable example |
Engine (run.py) — deterministic, code-decided, additive:
cmd_gate · schema_gate · trace_gate (no fabrication) · recompute_gate.cmd steps (allowlisted; mutations need --allow-mutations) · --plan dry-run (lists every step + validates branch gotos).branch (forward-only) · map_over (per-item) — control flow in code, never the model.kit/workflow/examples/.Iron rules — facts only from inputs (【待補】 for gaps) · deterministic work in code, gates hermetic & LLM-free · DRAFT + human approval · gates check truth, not keywords. Real enforcement is the Stop-hook, not prose.
Install — in Claude Code (incl. Claude Desktop's Code tab):
/plugin marketplace add s0912758806p/agentic-sop-to-work
/plugin install agentic-sop-kit@agentic-sop-to-work
/reload-plugins # or restart the session
Requires Python 3.8+ as python3 (macOS/Linux out of the box; on Windows ensure python3 resolves). Verify: /help lists /agentic-sop-kit:sop-flow.
Build your own flow — adopt the kit: python3 <plugin>/kit/bootstrap.py --project <dir> → scaffold a step: new_skill.py --name <x> (fill DEPS / run()) → wire workflow/flow.json → make it conversation-triggerable: export_claude_skill.py --skill <x>. Details: kit/SOP.md.
Layout
agentic-sop-to-work/
├── .claude-plugin/marketplace.json
└── plugins/agentic-sop-kit/
├── .claude-plugin/plugin.json · skills/ · commands/ · hooks/
└── kit/ # portable kit: lib/ · workflow/ · tests/ · templates/ · examples/ · SOP.md
npx claudepluginhub s0912758806p/agentic-sop-to-work --plugin agentic-sop-kitNatural language workflows (SOPs) for AI agents including code-assist, pdd, codebase-summary, code-task-generator, eval, and agent-sop-author.
Multi-agent workflow orchestration via YAML. Ships the conductor skill so the assistant can validate, run, debug, and author workflow files for the conductor CLI.
Core workflow engine - Execute workflow-as-markdown definitions with validation-driven completion
Auto-improving AI sub-agents that learn from their mistakes across sessions
Use this agent for optimizing human-agent collaboration workflows and analyzing workflow efficiency. This agent specializes in identifying bottlenecks, streamlining processes, and ensuring smooth handoffs between human creativity and AI assistance. Examples:\n\n<example>\nContext: Improving development workflow efficiency
Turn directories of markdown files into structured workflows operated by AI agents