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SkillsMP は peterbamuhigire/srs-skills から 158 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 158 件中 40 件を表示しています。
Use when independently reviewing drafted requirements for correctness, completeness, consistency, feasibility, traceability, and testability before baselining; use requirements-analysis to resolve raw elicitation conflicts.
原文の言語: 英語
Use when comparing solution candidates or prototypes to reduce uncertainty before locking requirements or design; use UX-specification after the chosen interaction direction is approved.
原文の言語: 英語
Use when specifying a SaaS aha event, activation milestones, segmented paths, nudges, measurement sources, and drop-off interventions. Use customer-success-playbook for ongoing intervention and user-manual for product procedures.
原文の言語: 英語
Use when specifying, planning, tracing, or reviewing realistic synthetic SaaS demo data and application-workflow test coverage for an SRS, PRD, test plan, release gate, or go-live evidence pack.
原文の言語: 英語
Use when auditing or improving the SDLC documentation engine or any PRD, SRS, architecture, test, deployment, governance, or game documentation product it produces.
原文の言語: 英語
Use when converting approved discovery evidence into a traceable PRD with objectives, prioritised features, success measures, constraints, and release scope; use vision-statement for the strategic north star and lean-canvas while assumptions still need…
原文の言語: 英語
Use when a SaaS or digital product needs to choose, tier and sequence AI features, separate table stakes from differentiation, decide build versus buy, and define an AI moat; use AI economic value brief for a single initiative's value proof and AI…
原文の言語: 英語
Use when defining a game's player promise, product hypotheses, platform options, production model, vertical-slice evidence, commercial boundaries, or greenlight decision before detailed requirements.
原文の言語: 英語
Use when converting an approved AI feature strategy into testable PRD requirements for quality, latency, cost, abstention, citations, consent, and evaluation; use ai-feature-strategy-doc for portfolio choices.
原文の言語: 英語
Use when specifying testable game software requirements for player experience, gameplay state, platforms, multiplayer, saves, content, performance, accessibility, telemetry, security, builds, release, or live operations.
原文の言語: 英語
Use when approved AI features need architecture decisions for direct calls, RAG, fine-tuning or agents, plus model gateway, knowledge stores, evaluation, observability and tenant security; use HLD for the whole system and agent architecture for tool-using…
原文の言語: 英語
Use when designing game client, authoritative state, engine integration, content, saves, multiplayer backend, platform adapters, telemetry, security, build, and live-operations architecture from an approved game SRS.
原文の言語: 英語
Use when specifying a reusable AI feature evaluation harness with datasets, graders, thresholds, calibration, regression gates, and run evidence; use ai-agent-eval-spec for multi-step tool-using agent evaluation.
原文の言語: 英語
Use when planning game QA, playtesting, balance, deterministic simulation, save migration, multiplayer network conditions, device performance, accessibility, localisation, security, certification, and release-candidate evidence.
原文の言語: 英語
Use when rolling out a non-agentic AI feature through offline, shadow, limited, and wider exposure with evaluation gates, bake periods, rollback triggers, and owners; use ai-agent-rollout-runbook for autonomy changes.
原文の言語: 英語
Use when facilitating a sprint retrospective that turns evidence into owned, time-bound improvement actions. Use sprint-planning for forward commitment and audit-report for an independent compliance review.
原文の言語: 英語
Use when independently assessing controls or delivery evidence and issuing read-only findings, severity, scope limits, and corrective actions. Use risk-assessment for prospective risk analysis and compliance-documentation to author control artefacts.
原文の言語: 英語
Use when turning approved game requirements and architecture into implementable Unity, Godot, Unreal, Apple-native, multiplayer, content-pipeline, build, and telemetry work packages with code and asset contracts.
原文の言語: 英語
Use when documenting reproducible game builds, signing, artifact promotion, distribution, staged rollout, rollback, crash diagnosis, matchmaking operations, live events, remote config, economy controls, support, or incidents.
原文の言語: 英語
Use when assembling or reviewing game greenlight, milestone, release, rights, security, player-research, build, test, live-operations, and independent-replication evidence without inflating capability claims.
原文の言語: 英語
Use when specifying a game's 3D asset and Blender source-to-engine pipeline, including asset briefs, rigs, animation clips, UV/bakes, materials, LODs, collision, export/import, lineage, automation, runtime budgets, and acceptance evidence; use…
原文の言語: 英語
Use when decision-makers need a go/no-go business case with cost, benefit, risk, timing, assumptions, and sensitivity evidence; use vision-statement for direction, lean-canvas for early hypotheses, and PRD generation only after investment approval.
原文の言語: 英語
Use when a project needs a concise strategic north star defining target users, problem, differentiated value, success and scope boundaries; use lean-canvas to test uncertain assumptions and PRD generation to specify approved product behaviour.
原文の言語: 英語
Use when an MVP, startup, SaaS, AI, website or mobile initiative still has material customer, problem, channel or value assumptions to test through a Lean Canvas, Impact Map and Hypothesis Board; use PRD generation once evidence supports stable requirements.
原文の言語: 英語
Use when every stakeholder needs a plain-language, current view of system purpose, context, major functions, constraints and actors; use vision-statement for strategic intent, PRD generation for product requirements, and high-level-design for technical…
原文の言語: 英語
Use when an AI feature, agent, RAG workflow, predictive product or automation proposal needs business outcomes, data readiness, evaluation, operating cost, risk and delivery evidence before PRD or architecture work; use AI feature strategy for portfolio…
原文の言語: 英語
Use when a commercial product, client-facing system, SaaS, app or executive workflow must justify premium pricing through buyer trust, proof, service quality and materially better experience; use vision-statement for broad direction and UX specification for…
原文の言語: 英語
Use when an early-stage or new SaaS product line needs a tightly bounded v1, one acquisition channel, explicit cuts, escape-velocity measures and a feature-triage log; use lean-canvas while the customer problem is still untested and PRD generation for the…
原文の言語: 英語
Use when a SaaS product needs an evidence-based defensibility plan covering integrations, owned channels, switching costs, proprietary data, brand or network effects; use competitive discovery for market facts and MVP scoping for initial release boundaries.
原文の言語: 英語
Use when a SaaS product needs testable tiers, a value metric, feature gates, expansion mechanics, freemium decision, grandfathering and price-change policy; use business-case for investment viability and PRD generation for feature requirements.
原文の言語: 英語
Use when a product may ship tool-using AI agents and needs to decide agent versus workflow, autonomy levels, tiered capabilities, action-catalogue advantage and sequencing; use AI feature strategy for the wider AI portfolio and agent architecture after…
原文の言語: 英語
Use when specifying SaaS usage events, billing, credits, refunds, dunning, finance handoff, and testable metering controls; use pricing-and-packaging for commercial tier design.
原文の言語: 英語
Use when specifying AI knowledge sources, ingestion, tenant isolation, freshness, retention, lineage, and training-data exclusions; use ai-feature-prd-spec for user-facing behaviour.
原文の言語: 英語
Use when defining testable product requirements for an agent's task scope, autonomy, budgets, intervention, success, and irreversible-action gates; use ai-agent-strategy-doc for portfolio strategy.
原文の言語: 英語
Use when defining the schema-bound tools an AI agent may invoke, including side effects, reversibility, approvals, audit fields, quotas, and kill switches; use agent PRD for user outcomes.
原文の言語: 英語
Use when specifying software that touches money, inventory value, payroll, tax, grants, payments, assets, or financial reports; use the finance doctrine for accounting policy and current statutory facts.
原文の言語: 英語
Use when decomposing approved features into INVEST user stories, epics, story points, and initial acceptance criteria; use acceptance-criteria when stories already exist and only test oracles are needed.
原文の言語: 英語
Use when formalising deterministic Given-When-Then acceptance criteria for existing user stories; use user-story-generation when the backlog or personas have not yet been defined.
原文の言語: 英語
Use when arranging an existing backlog into user activities, a walking skeleton, and release slices; use backlog-prioritization for economic ordering after the map exists.
原文の言語: 英語
Use when ranking an approved backlog with MoSCoW and WSJF and assigning release or sprint order; use story-mapping when the user journey and walking skeleton are not yet visible.
原文の言語: 英語