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SkillsMP は peterbamuhigire/chwezi-dev-engine から 180 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 180 件中 40 件を表示しています。
Top-level router for the Chwezi Core Systems web-development and software-engineering skills engine. Use for AI systems, SaaS, architecture, APIs, databases, security, frontend engineering, mobile, DevOps, reliability, product engineering, SDLC documentation,…
原文の言語: 英語
Use when turning a design system, product requirement, or frontend codebase into a maintainable component, content, state, and delivery architecture with measurable quality gates.
原文の言語: 英語
Use when auditing or improving this engineering engine or a product it produces. Coordinates evidence-backed baselines, small experiments, standardisation, and re-audits without replacing domain skills.
原文の言語: 英語
Use when auditing or tuning a development machine's Claude Code or Codex setup for context, model, subagent, permission, or token efficiency. Analyse local capabilities first and apply only supported reversible changes; route runner-specific details to the…
原文の言語: 英語
Use when defining database SLOs, error budgets, backup verification, capacity policy, incident response, game days, or MySQL and PostgreSQL on-call practice.
原文の言語: 英語
Use when designing tenant isolation, panel boundaries, zero-trust authorization, audit trails, or tenant permission overrides.
原文の言語: 英語
Use when checking that every irreversible agent action has signed approval evidence linked to the action audit log, and producing an approval-gap register or audit evidence pack.
原文の言語: 英語
Use when capturing kill-switch, red-team, and eval-drift drills as audit-ready compliance evidence — minimum-cadence enforcement, pass/fail recording, and cross-link to the incident drill skill. Turns drills from operational exercises into SOC 2 / ISO 27001 /…
原文の言語: 英語
Use when proving agent-memory erasure was complete and verifiable for GDPR / CCPA / POPIA / KE DPA requests — the 9-step cascade verification job emits a signed-off evidence pack. Pairs with `ai-agent-memory` (three-tier memory + erasure cascade) and…
原文の言語: 英語
Use when designing systems where multiple agents collaborate on one task — supervisor/worker, debate, plan-execute, peer handoff. Covers handoff message contracts, shared scratchpad, conflict resolution, deadlock detection, and the cost/SLA discipline that…
原文の言語: 英語
Use when designing multi-tenant agent runtimes, control loops, state machines, retries, idempotency, step caps, durable resumability, scheduling, cancellation, and workflow boundaries.
原文の言語: 英語
Use when red-teaming agent tool and data perimeters for indirect prompt injection, action escalation, tenant exfiltration, unsafe tool chains, self-modification, or containment regressions.
原文の言語: 英語
Use when discovering, designing, prioritizing, or auditing AI-powered products for measurable business value. Applies to AI opportunity mapping, ROI cases, product strategy, client workshops, and deciding whether an AI feature should be built.
原文の言語: 英語
Use when defining or enforcing which plan unlocks which AI model tier, generation quota, context limit, tool permission, tenant override, or upgrade behaviour.
原文の言語: 英語
Use when planning a controlled AI-feature rollout or experiment in multi-tenant SaaS: tenant/user feature flags, percentage and canary cohorts, holdout metrics, A/B tests of prompts or models, eval and SLO gates, automatic rollback, tenant opt-out and…
原文の言語: 英語
Use when specifying one AI-powered feature end to end, including model choice, prompt and context contracts, output schema, fallbacks, human oversight, UX states, and evaluation.
原文の言語: 英語
Use when designing or building an LLM gateway for provider abstraction, tenant-aware routing, fallbacks, quotas, residency, audit logging, cost capture, and kill-switch enforcement.
原文の言語: 英語
Use when building the observability stack for AI features in a multi-tenant SaaS — prompt/response tracing, semantic logging, replay tooling, "show me why this answer", per-stage latency/cost breakdown, ticket→trace tie-back, and dashboards that answer the…
原文の言語: 英語
Use when discovering and ranking AI use cases for a project or module and producing an opportunity register with impact, effort, cost, risk, and evidence gaps.
原文の言語: 英語
Use when designing or building an AI-enhanced web app with chat, RAG, MCP tools, streaming, provider abstraction, feature gates, token budgets, and output guardrails.
原文の言語: 英語
Use when building Python agents with the OpenAI Agents SDK, including runners, tools, handoffs, guardrails, tracing, memory, multi-agent topology, and deterministic orchestration.
原文の言語: 英語
Use when building or reviewing native Android applications with Kotlin, Compose, Hilt, and layered architecture; use android-data-persistence or android-tdd for focused data and test work.
原文の言語: 英語
Use when defining or reviewing software architecture for web apps, mobile backends, SaaS platforms, APIs, distributed systems, or major features. Covers bounded contexts, module decomposition, contracts, failure handling, ADRs, and scalability tradeoffs.
原文の言語: 英語
Use when authoring or normalising a specialist skill, or preparing to ship a feature or release — defines the seven evidence categories every specialist skill must declare against and provides the canonical Release Evidence Bundle template. The contract spine…
原文の言語: 英語
Use when designing CI/CD pipelines, stage gates, reusable workflows, short-lived cloud authentication, caching, deployment strategies, and pipeline telemetry.
原文の言語: 英語
Use when designing cloud deployments, Dockerising applications, laying out AWS or GCP environments, choosing a deployment pattern, or moving a workload from a single VM to a resilient multi-AZ topology.
原文の言語: 英語
Use when designing or reviewing deployment pipelines, rollout strategies, release gates, rollback plans, migration-safe releases, and post-deploy verification for production systems. Covers build promotion, environment strategy, release evidence, and…
原文の言語: 英語
Use when containerizing PHP, Python, JavaScript, or API services with Dockerfiles, multi-stage images, Compose, CI builds, runtime permissions, and persistent dependencies.
原文の言語: 英語
Use when provisioning or changing cloud infrastructure with Terraform or Ansible — modules, remote state with S3 native locking, workspaces vs directory-per-env, common AWS patterns, idempotent Ansible roles for Debian/Ubuntu, GitOps with ArgoCD/Flux, drift…
原文の言語: 英語
Use when running Kubernetes as a platform team — bootstrapping self-managed clusters on Debian/Ubuntu, designing multi-tenant RBAC, enforcing Pod Security and resource quotas, and operating cluster lifecycle (upgrades, certs, etcd, ingress, cert-manager,…
原文の言語: 英語
Use when designing or reviewing logs, metrics, traces, alerts, SLOs, dashboards, audit events, or production telemetry for web apps, APIs, SaaS platforms, mobile backends, and AI systems. Covers instrumentation strategy, diagnosis-first telemetry, alert…
原文の言語: 英語
Use when designing or reviewing production reliability for APIs, SaaS platforms, background jobs, distributed workflows, mobile backends, or AI-enabled systems. Covers timeout and retry policy, degradation, queue safety, incident readiness, and recovery-aware…
原文の言語: 英語
Use when converting an approved long-running plan into self-contained execution prompts across sessions or workers. Covers dependency order, checkpoints, capability fallback and evidence handoff; use world-class-engineering for a single implementation slice.
原文の言語: 英語
Use when coordinating accounting and finance implementation reviews, doctrine routing, control evidence, remediation priorities, and release decisions across a software system.
原文の言語: 英語
Use when defining, implementing, or auditing frontend performance for web apps and SaaS frontends; produces a per-flow performance budget, measurement plan tied to SLOs, and CI regression gate. Use api-design-first for API shape and observability-monitoring…
原文の言語: 英語
Use when implementing or reviewing a Next.js App Router application with server and client components, route handlers, middleware, caching, authentication, streaming, or deployment. Use react-development for framework-neutral components and api-design-first…
原文の言語: 英語
Use when implementing or reviewing React components, hooks, state ownership, forms, rendering performance, error boundaries, or component tests. Use nextjs-app-router for Next.js server boundaries and ux-content-strategy for product content systems.
原文の言語: 英語
Use when implementing or reviewing Tailwind CSS styling, responsive layouts, state variants, theme tokens, layers, grids, or build configuration. Use a design-system skill for visual direction and accessibility-wcag for formal accessibility review.
原文の言語: 英語
Use when planning, governing, or upgrading product content as a system - voice charts, content-first design, UI text patterns, form completion gates, error taxonomy, content measurement, decision communication, lifecycle narrative, and content operations.…
原文の言語: 英語
Use when designing, implementing, profiling, or reviewing non-player-agent behaviour, navigation, perception, decision systems, crowds, reservations, behaviour trees, state trees, utility logic, encounter AI, or AI validation in a game; load an engine skill…
原文の言語: 英語