Topic: cursor
7,943 skills in this topic.
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post-mortem-learning
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.
Fr-e-d/GAAI-framework 123
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approach-evaluation
Research industry standards and best practices, identify viable approaches for a given technical or architectural problem, and produce a structured factual comparison against project-specific constraints. Reports options — does not decide.
Fr-e-d/GAAI-framework 123
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validate-artefacts
Validate that all Discovery artefacts (Epics, Stories) are clear, governed, complete, and safe to pass into Delivery. Activate after generating Epics or Stories and before any Delivery planning. This is the mandatory Discovery → Delivery gate.
Fr-e-d/GAAI-framework 123
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generate-epics
Translate product intent or a PRD into a small set of outcome-driven Epics (3–7 max). Activate when starting a new product, adding a significant feature domain, or breaking down a PRD into actionable user outcomes.
Fr-e-d/GAAI-framework 123
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memory-refresh
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.
Fr-e-d/GAAI-framework 123
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memory-reconcile
Fr-e-d/GAAI-framework 123
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memory-ingest
Transform validated knowledge into structured long-term memory. Activate after Bootstrap scan, after Discovery produces validated artefacts, or after architecture insights are available.
Fr-e-d/GAAI-framework 123
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discovery-high-level-plan
Transform vague or high-level human intent into a governed Discovery action plan. Activate when intent is unclear, broad, or when multiple discovery steps are required before any artefact is created.
Fr-e-d/GAAI-framework 123
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memory-index-sync
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.
Fr-e-d/GAAI-framework 123
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create-prd
Produce a lightweight strategic PRD that defines product vision, user problem, value hypothesis, success metrics, and scope boundaries. Activate only when starting a new product, launching a major initiative, or facing strategic uncertainty.
Fr-e-d/GAAI-framework 123
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remediate-failures
Correct failures, rule violations, and acceptance criteria gaps detected during QA review. Activate when qa-review returns FAIL. Fixes without redefining scope — loops until all quality gates pass.
Fr-e-d/GAAI-framework 123
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qa-review
Validate that implemented code fully satisfies Story acceptance criteria, respects rules, and introduces no regressions. This is the hard quality gate — no pass means no delivery. Activate after implementation is complete.
Fr-e-d/GAAI-framework 123
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memory-compact
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.
Fr-e-d/GAAI-framework 123
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delivery-high-level-plan
Transform validated Stories into a clear, minimal, governed execution plan. Used by the Planning Sub-Agent as the first planning pass before prepare-execution-plan for Tier 2/3, or as the sole planning output for simple Stories.
Fr-e-d/GAAI-framework 123
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i18n-glossary-sync
Maintain a canonical i18n glossary file — sync new terms across all language pairs, detect drift, flag missing translations, and enforce consistent terminology across the codebase.
Fr-e-d/GAAI-framework 123
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coordinate-handoffs
Validate sub-agent handoff artefacts, sequence phase transitions, and manage retry and escalation logic. Activate after each sub-agent terminates to determine next action.
Fr-e-d/GAAI-framework 123
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friction-retrospective
Scan delivery artefacts for friction log entries, detect recurring patterns, and produce retrospective reports. Invoked by Discovery Agent (never by Delivery) to identify systemic improvement opportunities from friction captured during delivery.
Fr-e-d/GAAI-framework 123
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eval-run
Evaluate any output file against a structured evals.yaml assertions file and produce a score report with per-assertion pass/fail results. Activate when the Discovery Agent runs the Skill Optimize protocol to measure output quality or detect regressions after skill instruction changes.
Fr-e-d/GAAI-framework 123
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compose-team
Assemble the context bundles for each sub-agent based on evaluate-story output. Produces spawn-ready packages for Planning, Implementation, QA, or MicroDelivery sub-agents. Activate after evaluate-story, before spawning any sub-agent.
Fr-e-d/GAAI-framework 123
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ci-watch-and-fix
Watch GitHub Actions CI after PR creation, detect failures, extract logs, apply minimal fixes, and re-push — keeping the delivery session alive until CI resolves or escalating after 3 cycles. Activate immediately after gh pr create and before marking the story done.
Fr-e-d/GAAI-framework 123
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delivery-readiness-audit
Spot-check AC internal consistency and scan for pending revisions on delivery-ready stories. Activated by `/gaai-status --audit` as Section 5. Complements the standard status checks with depth checks that standard status skips for speed.
Fr-e-d/GAAI-framework 123
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decision-extraction
Identify and formalize durable product and technical decisions from agent outputs into long-term memory. Activate after Discovery produces artefacts, Delivery resolves trade-offs, or product direction materially changes.
Fr-e-d/GAAI-framework 123
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browser-journey-test
Validate user stories by simulating real user journeys in a live browser against deployed application. Activate after implementation to verify actual user experience against acceptance criteria, not just code logic.
Fr-e-d/GAAI-framework 123
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skill-optimize
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.
Fr-e-d/GAAI-framework 123