agentic-game-studio
agentic-game-studio contiene 71 skills recopiladas de LordKuper, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Validates completeness and consistency of the project architecture against all GDDs. Builds a traceability matrix mapping every GDD technical requirement to ADRs, identifies coverage gaps, detects cross-ADR conflicts, verifies engine compatibility consistency across all decisions, and produces a PASS/CONCERNS/FAIL verdict. The architecture equivalent of /ags-design-review.
Reviews a game design document for completeness, internal consistency, implementability, and adherence to project design standards. Run this before handing a design document to programmers.
Brownfield onboarding — audits existing project artifacts for template format compliance (not just existence), classifies gaps by impact, and produces a numbered migration plan. Run this when joining an in-progress project or upgrading from an older template version. Distinct from /ags-project-stage-detect (which checks what exists) — this checks whether what exists will actually work with the template's skills.
Creates an Architecture Decision Record (ADR) documenting a significant technical decision, its context, alternatives considered, and consequences. Every major technical choice should have an ADR.
Guided, section-by-section Art Bible authoring. Creates the visual identity specification that gates all asset production. Run after /ags-brainstorm is approved and before /ags-map-systems or any GDD authoring begins.
Audits game assets for compliance with naming conventions, file size budgets, format standards, and pipeline requirements. Identifies orphaned assets, missing references, and standard violations.
Generate per-asset visual specifications and AI generation prompts from GDDs, level docs, or character profiles. Produces structured spec files and updates the master asset manifest. Run after art bible and GDD/level design are approved, before production begins.
Analyzes game balance data files, formulas, and configuration to identify outliers, broken progressions, degenerate strategies, and economy imbalances. Use after modifying any balance-related data or design. Use when user says 'balance report', 'check game balance', 'run a balance check'.
Guided game concept ideation — from zero idea to a structured game concept document. Uses professional studio ideation techniques, player psychology frameworks, and structured creative exploration.
Creates a structured bug report from a description, or analyzes code to identify potential bugs. Ensures every bug report has full reproduction steps, severity assessment, and context.
Read all open bugs in .ags/project/qa/bugs/, re-evaluate priority vs. severity, assign to sprints, surface systemic trends, and produce a triage report. Run at sprint start or when the bug count grows enough to need re-prioritization.
Auto-generates a changelog from git commits, sprint data, and design documents. Produces both internal and player-facing versions.
Performs an architectural and quality code review on a specified file or set of files. Checks for coding standard compliance, architectural pattern adherence, SOLID principles, testability, and performance concerns.
Scan all GDDs against the entity registry to detect cross-document inconsistencies: same entity with different stats, same item with different values, same formula with different variables. Grep-first approach — reads registry then targets only conflicting GDD sections rather than full document reads.
Audit GDD-specified content counts against implemented content. Identifies what's planned vs built.
Author the master architecture document. Run as skeleton in Foundation phase (top-level layers, module boundaries, tech stack — no detailed ADRs yet); refresh in Production as ADRs accumulate per epic. Engine-version-aware: flags knowledge gaps and validates decisions against the pinned engine version.
Produce a flat actionable rules sheet for programmers — what you must do, what you must never do, per system and per layer. Two modes: SEED (Foundation phase, derived from architecture skeleton + technical preferences + engine reference) and REFRESH (Production phase, regenerated from accumulated Accepted ADRs).
Create one vertical-slice epic covering 1-3 systems (modes: new / revise / stub). Writes EPIC.md from t_epic.md, updates epics/index.md, sets active epic in stage.md.
Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /ags-create-epics for each epic.
Prepare a day-one patch for a game launch. Scopes, prioritises, implements, and QA-gates a focused patch addressing known issues discovered after gold master but before or immediately after public launch. Treats the patch as a mini-sprint with its own QA gate and rollback plan.
Guided, section-by-section GDD authoring for a single game system. Gathers context from existing docs, walks through each required section collaboratively, cross-references dependencies, and writes incrementally to file.
Read a story file and implement it. Loads the full context (story, GDD requirement, ADR guidelines, control manifest), routes to the right programmer agent for the system and engine, implements the code and test, and confirms each acceptance criterion. The core implementation skill — run after /ags-story-readiness, before /ags-code-review and /ags-story-done.
Lock minimal API contracts for stub-mode systems in the active epic. Writes Contracts section in EPIC.md and pre-registers stubs in stubs.md.
Run a retrospective for the closing epic. Combines standard questions with scope-dependent ones derived from epic content. Writes Retrospective section in EPIC.md and appends to decisions-log.md.
Estimates task effort by analyzing complexity, dependencies, historical velocity, and risk factors. Produces a structured estimate with confidence levels.
Internal-only: parallel Codex CLI reviewer invoked by authoring and review-verdict skills inside their Combined Review Loop. Not user-invocable. Returns structured findings JSON to the caller's aggregator; no verdict, no block. Codex unavailable returns {skipped: codex-unavailable}; loop continues with internal pool only.
Validate readiness to advance between development phases or to close an epic. Produces PASS / CONCERNS / FAIL verdict with blockers and required artifacts. Use when user says 'are we ready to move to X', 'close this epic', 'pass the gate'.
Analyzes what is done and the users query and offers advice on what to do next. Use if user says what should I do next or what do I do now or I'm stuck or I don't know what to do
Emergency fix workflow that bypasses normal sprint processes with a full audit trail. Creates hotfix branch, tracks approvals, and ensures the fix is backported correctly.
Complete launch readiness validation covering every department: code, content, store, marketing, community, infrastructure, legal, and go/no-go sign-offs.
Full localization pipeline: scan for hardcoded strings, extract and manage string tables, validate translations, generate translator briefings, run cultural/sensitivity review, manage VO localization, test RTL/platform requirements, enforce string freeze, and report coverage.
Decompose a game concept into individual systems, map dependencies, prioritize design order, and create the systems index.
Generates a comprehensive milestone progress review including feature completeness, quality metrics, risk assessment, and go/no-go recommendation. Use at milestone checkpoints or when evaluating readiness for a milestone deadline.
Generates a contextual onboarding document for a new contributor or agent joining the project. Summarizes project state, architecture, conventions, and current priorities relevant to the specified role or area.
Generate player-facing patch notes from git history, sprint data, and internal changelogs. Translates developer language into clear, engaging player communication.
Structured performance profiling workflow. Identifies bottlenecks, measures against budgets, and generates optimization recommendations with priority rankings.
Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis.
Automatically analyze project state, detect stage, identify gaps, and recommend next steps based on existing artifacts. Use when user asks 'where are we in development', 'what stage are we in', 'full project audit'.
When an upstream design document is revised (GDD, DESIGN.md, accessibility-requirements, technical-preferences), scans downstream artifacts (ADRs, art-bible sections, traceability index) to identify what is now potentially stale. Produces a change impact report and guides resolution.
Generate a QA test plan for a sprint or feature. Reads GDDs and story files, classifies stories by test type (Logic/Integration/Visual/UI), and produces a structured test plan covering automated tests required, manual test cases, smoke test scope, and playtest sign-off requirements. Run before sprint begins or when starting a major feature.