agent-first-planning

Solid

Create or revise production-ready SDD plans for agent execution, including clarification, specification, freeze inputs, ownership, budgets, and evidence contracts.

AI & Automation 18 stars 1 forks Updated 6 days ago Apache-2.0

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Quality Score: 81/100

Stars 20%
43
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Agent first planning Use this skill when a request must become an agent-ready implementation plan before work starts. The output is a frozen-ready package, not implementation. ## Contract 1. Clarify only questions that can change scope, architecture, safety, acceptance, external authority, or write ownership. Record safe assumptions for everything else. 2. Choose the SDD tier. - `S0`: one bounded mechanical change with one executable owner. - `S1`: one standard owner and no major architecture, security, performance, browser, data, or external-environment risk. - `S2`: multiple executable owners or meaningful architecture, security, performance, browser, data, release, migration, or external risk. Use the core `tier resolve` command when available, and never lower a tier without independent review. 3. For `S2`, write a product specification first and require independent specification review before plan freeze. 4. Produce a developer overview that explains the intent, user-visible result, architecture boundaries, risks, non-goals, and execution model. 5. Produce a plan manifest or equivalent machine-readable contract with: requirements, acceptance criteria, evidence ids, workstreams, dependency DAG, exact write ownership, read-only inputs, lead-owned integration seams, validation commands, budgets, context limits, and final audit gates. 6. Keep immutable planning authority separate from mutable run artifacts. 7. Route the candi...

Details

Author
avksp
Repository
avksp/agent-lifecycle-kit
Created
1 months ago
Last Updated
6 days ago
Language
Python
License
Apache-2.0

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