بنقرة واحدة
governed-ai-delivery
يحتوي governed-ai-delivery على 18 من skills المجمعة من Accelerated-Innovation، مع تغطية مهنية على مستوى المستودع وصفحات skill داخل الموقع.
Skills في هذا المستودع
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 (advisory) an appropriate model tier for implementing each increment. This skill plans; it does not write code, tests, commits, or architecture.
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 under protection, classifies each test by level and feedback loop, and flags nondeterminism risks.
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 coverage-as-diagnostic.
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 variables, growing conditionals, repeated parameter groups, or scattered constants are observed. Also use proactively when reviewing code for design quality, assessing coherence and development level, or applying the 8 Code Virtues framework. Do not wait to be asked — if you see representation pressure in the code, surface it.
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.
Validate architecture boundaries, standards alignment, and ADR need before planning a feature. Use when starting a new feature or invoking /govkit-architecture-preflight.
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.
Generate a feature plan (plan.md) and eval_criteria.yaml from NFRs and acceptance scenarios. Use when the user asks to plan a feature or invokes /govkit-spec-planning.
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.
Generate a feature plan (plan.md) and eval_criteria.yaml from NFRs and acceptance scenarios. Use when the user asks to plan a feature or invokes /govkit-spec-planning.
Generate a feature plan (plan.md) and eval_criteria.yaml from NFRs and acceptance scenarios. Use when the user asks to plan a feature or invokes /govkit-spec-planning.
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.
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.
Design a governed agent topology and produce agent_topology.md. Use for multi-agent features, delegation, adaptive orchestration, or when invoking /govkit-multi-agent-design.
Author an Architecture Decision Record for a UI architectural decision. Use when the user asks to write a UI ADR or invokes /govkit-ui-adr-author.
Validate UI architecture boundaries, backend contracts, and ADR need before spec planning. Use when starting a new UI feature or invoking /govkit-ui-architecture-preflight.
Generate an ordered UI implementation checklist from a validated plan and preflight. Use when the user asks to draft UI implementation steps or invokes /govkit-ui-implementation-plan.
Generate a UI feature plan (plan.md) and eval_criteria.yaml from NFRs, acceptance scenarios, and architecture preflight. Use when the user asks to plan a UI feature or invokes /govkit-ui-spec-planning.