Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until criteria pass. Works with Claude Code, Codex CLI, Gemini CLI, Cursor, and more. No SDK. No package. Markdown + YAML + bash.
Translate strings idiomatically across multiple target languages using a project glossary, preserving tone, domain terminology, and format placeholders while flagging untranslatable content.
After QA PASS, compare the Story's implementation footprint against relevant memory entries. Reports confirmed entries, contradictions, and new knowledge candidates. Never writes to memory — produces a delta report for Discovery to action.
Migrate a superseded DEC's index rows from active index.md to archive/superseded-decisions.archive.md. Idempotent. Discovery-only — never invoked by daemon delivery. Updates DEC frontmatter as canonical source of truth.
Emergency single-pass memory compression when context window pressure is high mid-task. Activate when approaching token limits during active work. For scheduled end-of-phase cleanup, use memory-refresh instead.
Apply three deterministic heuristics to a single memory-delta file to produce a structured verdict block; invoke memory-ingest on ACCEPTED candidates only in validate mode. Activate when Discovery processes a raw memory-delta from contexts/artefacts/memory-deltas/.
Compact verbose memory index / registry files to pointer-only form. Activate when an index file (index.md, index-decisions.md, or any sibling registry table) breaches the file-size budget OR shows substance-duplication drift. Distinct from memory-compact (which targets content categories) and memory-archive-superseded…
Detect and heal index.md drift — finds memory files on disk not registered in index.md and registers them. Run when /gaai-status reports unregistered files, after batch memory operations, or as a post-delivery gate.
Transform validated knowledge into structured long-term memory. Activate after Bootstrap scan, after Discovery produces validated artefacts, or after architecture insights are available.
Scan all memory files, documentation (/docs//.md), and README files (/README.md) for drift, contradictions, and stale references. Produce a reconciliation report for Discovery to action. Activate on demand or via cron.
Periodic memory maintenance — archive session files, convert recurring knowledge into summaries, update the memory index. Activate at end of a major phase (Discovery complete, sprint done) or when memory spans many sessions. For emergency context-window pressure mid-task, use memory-compact instead.
Load only the minimum relevant memory for a task using 3-level progressive disclosure. Activate before context-building — never load full memory dumps. Never substitute summaries for durable memory.
Search memory by frontmatter fields, full-text keywords, or cross-reference graph. Returns ranked file list — never loads full content. Use when the agent needs to find relevant memory without knowing exact paths.
Discover structurally similar patterns across domains, assess transfer viability via structural invariant checking, and propose domain adaptations with risk gates. Activate when Discovery identifies a problem that may have been solved in another domain.
Analyze failures and suboptimal deliveries to identify root causes, contributing factors, and raw lessons. Activate after significant delivery failures, repeated QA failures, or when patterns of issues need to be understood.
Scan project root for file tree, dominant languages, and LOC estimate. Produces structured baseline context for Stage 2 LLM synthesis during bootstrap. Respects .gitignore and standard exclusions. Outputs per-directory file counts, ranked language list, size class, and observability summary.
Presents up to 5 questions from smart-question-generator one at a time, records answers, handles per-question skip and skip-all, captures per-question response time and total session duration. Renders a streaming progress header with question count and time estimate. Used as the interaction layer of Stage 4 of the…
Systematically identify and structure product, delivery, and systemic risks before they become failures. Activate before finalizing Epics and Stories, before execution planning, after repeated QA failures, or after major scope changes.
Convert implicit or scattered project conventions into governed GAAI rule files, and create or modify rule files with integrity. Activate during Bootstrap, when creating a new rule, or when modifying an existing rule.
Detect security vulnerabilities and governance violations across delivered code, configurations, and deployed environments. Activate after implementation or periodically as a governance check.
Run a structured evaluate-analyze-improve cycle on any GAAI skill to measure quality, detect regressions, and propose targeted improvements. Activate when a skill needs baseline evaluation, after SKILL.md modifications, or when friction-retrospective flags a skill.
Takes aggregated ambiguity insights from the LLM synthesis stage and produces ≤5 ranked questions to surface to the user. Applies a two-layer anti-fabrication filter (pre-LLM exclusion of score<3 insights + post-LLM structural strip) so that Q&A surfaces only genuine ambiguities. Used as Stage 4 of the /gaai:bootstrap…
Evaluate delivery outcomes against defined success metrics and acceptance goals. Activate after Delivery to verify that delivered work creates real business and technical impact, not just output.
★not rated 161 yesterdayA36 tokens
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: