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Topic: opencode

1,723 skills in this topic.

idiomatic-translate Translate strings idiomatically across multiple target languages using a project glossary, preserving tone, domain terminology, and format placeholders while flagging untranslatable content.
Fr-e-d/GAAI-framework 123
memory-alignment-check 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.
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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
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.
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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.
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memory-retrieve 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.
Fr-e-d/GAAI-framework 123
memory-search 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.
Fr-e-d/GAAI-framework 123
pattern-transfer 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.
Fr-e-d/GAAI-framework 123
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
risk-analysis 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.
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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
skill-usage-audit Scan all artefacts (epics, stories, PRDs) for Base Rule
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success-metrics-evaluation 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.
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summarization Transform large, noisy, or short-term memory into compact, durable, high-signal summaries. Activate when session memory grows large, decisions accumulate, or memory retrieval starts returning too many files.
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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.
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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.
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evaluate-story Assess Story complexity, identify required domains, and determine delivery tier (MicroDelivery / Core Team / Core Team + Specialists). Activate as the first step of every delivery orchestration cycle.
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implement Generate correct, minimal, maintainable code that satisfies a validated Story's acceptance criteria against an execution plan. Activate when a Story is validated, a plan exists, and all prerequisites are unambiguous.
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prepare-execution-plan Decompose a high-level delivery plan into a precise, file-level execution sequence with explicit ordering, edge cases, and test checkpoints. Activate after delivery-high-level-plan for complex or multi-phase Stories before implementation begins.
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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.
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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.
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generate-stories Translate a single Epic into clear, actionable User Stories with explicit acceptance criteria. Activate when an Epic is defined and work needs to be prepared for Delivery execution.
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refine-scope Iteratively refine Discovery artefacts (plans, epics, stories) when feedback, ambiguity, or uncertainty is detected. Activate when artefacts are incomplete, acceptance criteria are missing, or human feedback highlights gaps.
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review-story-alignment Adversarial review of generated stories against the Discovery Session Brief, referenced DECs, and Epic DoR. Detects contradictions, omissions, and intent drift BEFORE stories reach Delivery. Produces a structured verdict (PASS/FAIL) with specific findings per story. Triggers after generate-stories, before backlog registration as refined.
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