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SkillsMP hat 180 Skills aus peterbamuhigire/chwezi-dev-engine gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
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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,…
Quellsprache: Englisch
Use when turning a design system, product requirement, or frontend codebase into a maintainable component, content, state, and delivery architecture with measurable quality gates.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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…
Quellsprache: Englisch
Use when defining database SLOs, error budgets, backup verification, capacity policy, incident response, game days, or MySQL and PostgreSQL on-call practice.
Quellsprache: Englisch
Use when designing tenant isolation, panel boundaries, zero-trust authorization, audit trails, or tenant permission overrides.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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 /…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
Use when designing multi-tenant agent runtimes, control loops, state machines, retries, idempotency, step caps, durable resumability, scheduling, cancellation, and workflow boundaries.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Use when defining or enforcing which plan unlocks which AI model tier, generation quota, context limit, tool permission, tenant override, or upgrade behaviour.
Quellsprache: Englisch
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…
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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…
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Use when building Python agents with the OpenAI Agents SDK, including runners, tools, handoffs, guardrails, tracing, memory, multi-agent topology, and deterministic orchestration.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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…
Quellsprache: Englisch
Use when designing CI/CD pipelines, stage gates, reusable workflows, short-lived cloud authentication, caching, deployment strategies, and pipeline telemetry.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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…
Quellsprache: Englisch
Use when containerizing PHP, Python, JavaScript, or API services with Dockerfiles, multi-stage images, Compose, CI builds, runtime permissions, and persistent dependencies.
Quellsprache: Englisch
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…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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.
Quellsprache: Englisch
Use when coordinating accounting and finance implementation reviews, doctrine routing, control evidence, remediation priorities, and release decisions across a software system.
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.…
Quellsprache: Englisch
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…
Quellsprache: Englisch