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Claude Skills by peterbamuhigire
github.com/peterbamuhigire181 skills2 installs226 views
- 00 Meta InitializationUse when initialising documentation and a methodology roadmap for a brand-new project by detecting project type, selecting Waterfall, Agile, or Hybrid delivery, and generating the governed document sequence.Votes: 0GitHub stars: 28
- New ProjectUse when the task matches skill: new project scaffold and this skill''s local workflow.Votes: 0GitHub stars: 28
- Ai Agent Approval Audit CompletenessUse 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.Votes: 0GitHub stars: 28
- Ai Agent Commercial OperationsUse when pricing, billing, refunding, recognizing revenue, or packaging commercial terms for agentic AI services, or when defining agent SLAs, customer commitments, SLA dashboards, breach credits, and service evidence.Votes: 0GitHub stars: 28
- Ai Agent Compliance ControlsUse when mapping AI agent operations to SOC 2, ISO 27001, HIPAA, audit logs, control testing, attestations, and compliance evidence, including drill-cadence evidence, approval-completeness (PI1.1) gap checks, and signed agent-memory erasure proofs.Votes: 0GitHub stars: 28
- Ai Agent Drill Evidence And CadenceUse 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 / HIPAA evidence rows with signed packs.Votes: 0GitHub stars: 28
- Ai Agent Governance And LimitsUse when defining agent budgets, step limits, reversibility, blast-radius controls, kill switches, and governance policy for agentic AI systems.Votes: 0GitHub stars: 28
- Ai Agent Memory Erasure ProofUse 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 `saas-tenant-data-portability-and-erasure` (tenant-level erasure pipeline).Votes: 0GitHub stars: 28
- Ai Agent Multi Agent CoordinationUse 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 keeps multi-agent setups from spiralling.Votes: 0GitHub stars: 28
- Ai Agent Observability EvaluationUse when measuring, evaluating, replaying, evidencing, or tracking success for AI agent tasks, steps, traces, and outcomes.Votes: 0GitHub stars: 28
- Ai Agent Runtime ArchitectureUse when designing multi-tenant agent runtimes, control loops, state machines, retries, idempotency, step caps, durable resumability, scheduling, cancellation, and workflow boundaries.Votes: 0GitHub stars: 28
- Ai Agent Safety And Red TeamUse when red-teaming agent tool and data perimeters for indirect prompt injection, action escalation, tenant exfiltration, unsafe tool chains, self-modification, or containment regressions.Votes: 0GitHub stars: 28
- Ai Agent Sla And Customer CommitmentsUse when defining agent SLAs, customer commitments, SLA dashboards, credits, support promises, and service evidence for agentic AI products.Votes: 0GitHub stars: 28
- Ai Agent Tooling And HitlUse when designing agent tool catalogs, tool schemas, action gating, human approval, and human-in-the-loop control for agentic AI systems.Votes: 0GitHub stars: 28
- Ai AnalyticsUse when designing AI analytics, dashboards, SaaS AI metrics, NLP analytics, predictive analytics, or executive AI insight workflows. Orchestrates the former granular AI analytics skills as references.Votes: 0GitHub stars: 28
- Ai App ArchitectureUse when designing or building AI-powered application systems — choosing architecture style, selecting components, structuring the AI stack, making build-vs-buy decisions, and planning multi-tenant AI module gatingVotes: 0GitHub stars: 28
- Ai Cost And MeteringUse when modeling, metering, attributing, billing, or controlling AI usage costs across tenants, plans, features, providers, and agent workloads.Votes: 0GitHub stars: 28
- Ai Economic Value EngineUse 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.Votes: 0GitHub stars: 28
- Ai EvaluationUse when building an AI/LLM evaluation harness, golden datasets, quality metrics, judge calibration, regression gates, production monitoring, drift detection, or user-feedback loops; use ai-llm-integration for provider calls.Votes: 0GitHub stars: 28
- Ai Feature Rollout And ExperimentationUse 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 consent, or shadow mode for risky changes.Votes: 0GitHub stars: 28
- Ai Feature SpecUse 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.Votes: 0GitHub stars: 28
- Ai Incident ResponseUse when preventing, detecting, triaging, communicating, recovering from, or reviewing AI incidents, AI errors, RCA, and postmortems.Votes: 0GitHub stars: 28
- Ai Llm IntegrationUse when integrating an LLM provider into an application with streaming, structured outputs, tool calls, embeddings, multi-model routing, retries, caching, and usage metering, or when choosing regex, an LLM, or a hybrid pipeline to extract fields from structured text such as forms, invoices, or scraped listings.Votes: 0GitHub stars: 28
- Ai Model GatewayUse when designing or building an LLM gateway for provider abstraction, tenant-aware routing, fallbacks, quotas, residency, audit logging, cost capture, and kill-switch enforcement.Votes: 0GitHub stars: 28
- Ai Observability And DebuggingUse 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 operational questions (which tenant, which feature, which prompt version, which model).Votes: 0GitHub stars: 28
- Ai Opportunity CanvasUse 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.Votes: 0GitHub stars: 28
- Ai Prompt EngineeringUse when writing, refining, or structuring prompts for AI-powered app features — system prompts, user prompt templates, few-shot examples, chain-of-thought, prompt versioning, and defensive promptingVotes: 0GitHub stars: 28
- Ai Rag PatternsUse when building features that answer questions from private data, documents, policies, or time-sensitive information — RAG architecture, chunking, hybrid search, re-ranking, vector databases, evaluation, agentic and multimodal RAG, and bounded iterative retrieval for context-starved subagents.Votes: 0GitHub stars: 28
- Ai SecurityUse when securing an AI/LLM-powered feature against prompt injection, cross-tenant data leakage and tenant isolation failures, jailbreaks, and adversarial inputs. Covers PII scrubbing before model calls, output validation, rate limiting, audit logging, and DPPA/GDPR compliance for AI data flows.Votes: 0GitHub stars: 28
- Ai Web AppsUse when designing or building an AI-enhanced web app with chat, RAG, MCP tools, streaming, provider abstraction, feature gates, token budgets, and output guardrails.Votes: 0GitHub stars: 28
- Openai Agents SdkUse when building Python agents with the OpenAI Agents SDK, including runners, tools, handoffs, guardrails, tracing, memory, multi-agent topology, and deterministic orchestration.Votes: 0GitHub stars: 28
- Api Design FirstUse when designing HTTP APIs with OpenAPI, versioning, authentication, rate limits, idempotency, error contracts, observability requirements, and choosing REST, webhooks, SSE, or WebSocket delivery.Votes: 0GitHub stars: 28
- Distributed Systems PatternsUse when designing or reviewing multi-service, message-driven, or eventuallyVotes: 0GitHub stars: 28
- Graphql PatternsUse when designing, building, or operating GraphQL APIs with Apollo Server +Votes: 0GitHub stars: 28
- Microservices ArchitectureUse when designing, reviewing, or refactoring microservice boundaries, communication, service ownership, deployment independence, resilience, and distributed data flows. Load absorbed microservices fundamentals, models, communication, and resilience references as needed.Votes: 0GitHub stars: 28
- System Architecture DesignUse when defining or reviewing software architecture for web apps, mobile backends, SaaS platforms, APIs, distributed systems, or major features. Covers bounded contexts, module decomposition, hexagonal ports-and-adapters boundaries, contracts, failure handling, ADRs, and scalability tradeoffs.Votes: 0GitHub stars: 28
- Validation ContractUse 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 that turns scattered validation skills into a coherent ship-readiness check.Votes: 0GitHub stars: 28
- Database Design EngineeringUse when designing or reviewing relational or document-backed data architecture for SaaS platforms, ERP systems, APIs, analytics stores, or mobile sync. Covers domain modeling, tenancy, indexing, migrations, event stream data contract and schema evolution, integrity, retention, and performance tradeoffs.Votes: 0GitHub stars: 28
- Database ReliabilityUse when defining database SLOs, error budgets, backup verification, capacity policy, incident response, game days, or MySQL and PostgreSQL on-call practice.Votes: 0GitHub stars: 28
- Mysql EngineeringUse when designing, implementing, administering, tuning, backing up, restoring, monitoring, or troubleshooting MySQL schemas and production systems; use database-reliability for datastore-independent SLO and recovery policy.Votes: 0GitHub stars: 28
- Postgresql EngineeringUse when designing, implementing, administering, tuning, backing up, restoring, monitoring, or troubleshooting PostgreSQL schemas and production systems; use database-reliability for datastore-independent SLO and recovery policy.Votes: 0GitHub stars: 28
- Cicd PipelinesUse when building CI/CD pipelines with build, test, security, packaging, deployment stages, reusable workflows, short-lived cloud authentication, caching, promotion gates, pipeline telemetry, and hardening GitHub Actions workflows (SHA pinning, OIDC); use deployment-release-engineering for rollout decisions.Votes: 0GitHub stars: 28
- Cloud ArchitectureUse 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.Votes: 0GitHub stars: 28
- Deployment Release EngineeringUse 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 operational safety.Votes: 0GitHub stars: 28
- Docker DevelopmentUse when containerizing PHP, Python, JavaScript, or API services with Dockerfiles, multi-stage images, Compose, CI builds, runtime permissions, and persistent dependencies.Votes: 0GitHub stars: 28
- Infrastructure As CodeUse 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 detection, and Vault secret injection.Votes: 0GitHub stars: 28
- Kubernetes PlatformUse when building or running production Kubernetes clusters, namespaces, workloads, ingress, autoscaling, multi-tenant RBAC, network/Pod Security, resource quotas, upgrades, certificates, etcd, metrics, disruption, and recovery.Votes: 0GitHub stars: 28
- Observability MonitoringUse 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 quality, and operational visibility.Votes: 0GitHub stars: 28
- Reliability EngineeringUse 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 design.Votes: 0GitHub stars: 28
- Accounting EngineUse when designing or implementing double-entry accounting policy and an embedded ledger engine for invoices, payments, stock, balanced postings, mapped accounts, idempotency, reversals, period locks, audit trails, and financial statements.Votes: 0GitHub stars: 28