Template for AI-native development: Claude Code, OpenCode, Codex and Gemini CLI from one config, intent→spec→plan in CI, eval-gated merges, and the shared fawkes-space devcontainer
Generate and maintain AISTANCE.md for any uFawkes repo. Use when onboarding a repo to the uFawkesAI suite, when reviewing AI policy currency, or when a new AI tool is being adopted. Implements DORA AI Capability 1. Handles review triggers, three-bucket update process, socialization checklist, and cross-repo…
Ensure the internal context an agent needs is current, complete, and placeholder-free before each session. Define minimum AI-accessible documentation per repo. Use at session startup to verify internal context is available to AI tools. Implements DORA AI Capability 3.
15-minute JTBD + acceptance criterion exercise. Use before any spec session. Produces a discovery-brief.md that anchors the entire increment to a real user need and a measurable DORA outcome. Implements DORA AI Capability 6. Includes advanced methods for untested assumptions, persona deep-dives, and prior art search.
Enforce minimum documentation standard across uFawkes repos. Use when auditing a repo before release, onboarding a new repo to the suite, or implementing roadmap item 0.6 (cross-repo README links). Directly supports DORA AI Capability 3 and the 2023 DORA finding that documentation quality amplifies all technical…
Product retrospective. Runs after a release, after a /measure anomaly flag, or at end of sprint. Maps findings to DORA AI capabilities and produces action items for @planner. Distinct from fawkes learn.md which handles platform incident postmortems.
Validate the entire OBS + PIPE + GitOps + K8s flow end-to-end, and full system behavior from user's perspective. Implements DORA AI Capabilities 4, 5, 6, 7.
Regression-gate changes to the agent configuration (AGENTS.md, .agents/ rules, skills, agents, workflows, hooks) by replaying recorded tasks and blocking if the pass rate drops below baseline. Use when changing any agent configuration, or when adding an eval task after a real agent mistake. Implements DORA AI…
Use when searching uFawkesAI institutional knowledge via qmd — agent orchestration, AI-SDLC pipeline, skill/registry conventions, DORA measurement — or when an answer should come from this repo's docs rather than its code.
Surface the relevant Fawkes Dojo module for the current task and map it to the DORA capability being worked on. Implements DORA AI Capability 3 and AI Capability 6 by linking internal docs to the learning path.
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: