Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Given an arbitrary project, inspect it and produce a .checks/checks.d/ configuration so the project can run ./check / ./check-llm. This skill does not assume any language, package manager, or toolchain, and it does not install a pre-built "profile" — every check is derived from evidence found in the target repo.
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Plan implementation work as a sequence of the smallest independently demonstrable increments. Use when given a feature request, a body of work, or any implementation task that must be broken down or sequenced BEFORE coding — it classifies the request, identifies the next demonstrable behaviors, and recommends…
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Write or improve unit tests following a strict determinism, F.I.R.S.T., and fast-feedback-budget discipline. Use when asked to write tests, improve tests, review test quality, classify tests, or assess a test suite against a 30-second fast-feedback budget. Invokes a structured output protocol that identifies behaviors…
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Standards for writing, reviewing, and evaluating unit tests. Use whenever writing new tests, reviewing existing tests, deciding what to test, assigning a test to a fast vs. full feedback loop, or diagnosing flaky, slow, or low-value tests. Covers structural fidelity, the FIRST properties, behavioral invariants, and…
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Zero-One-Many Representation Evolution — use this skill whenever working with existing code that needs to change, grow, or be refactored. Triggers include: "refactor this", "add a new X to this", "this is getting messy", "how should I represent this", "there's a lot of duplication here", or any time numbered…
Accelerated-Innovation/governed-ai-delivery
Instructions file
Claude Code instructions for Accelerated-Innovation/governed-ai-delivery, covering claude.md, what this repo is (read this first), commands, local end-to-end smoke (powershell, windows) and installer architecture (cli/).
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Author an Architecture Decision Record for a new pattern, exception, or boundary change. Use when the user asks to write an ADR or invokes /govkit-adr-author.
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Validate architecture boundaries, standards alignment, and ADR need before planning a feature. Use when starting a new feature or invoking /govkit-architecture-preflight.
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Plan a provider-neutral evaluation suite for an LLM feature. Use when the user asks to plan model evaluations or invokes /govkit-eval-suite-planning.
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Author a fix record for a defect that restores already-established behavior. Use when the user reports a bug, asks to fix a defect, or invokes /govkit-fix-record.
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Validate Level 5 provider-neutral LLM architecture decisions before planning. Use after /govkit-architecture-preflight for features with mode:llm or when invoking /govkit-genai-preflight.
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Generate an ordered implementation checklist with evaluation compliance summary from a validated preflight. Use when the user asks to draft implementation steps or invokes /govkit-implementation-plan.
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Design a governed agent topology and produce agenttopology.md. Use for multi-agent features, delegation, adaptive orchestration, or when invoking /govkit-multi-agent-design.
Accelerated-Innovation/governed-ai-delivery
Skill Claude CodeCodex
Generate a feature plan (plan.md) and evalcriteria.yaml from NFRs and acceptance scenarios. Use when the user asks to plan a feature or invokes /govkit-spec-planning.