القائمة
Skills في هذا المستودع
جمع SkillsMP عدد ١٤٣ من skills من peterbamuhigire/skills-web-dev. افتح أي skill لمراجعة مصدره وتفاصيله.
peterbamuhigire/skills-web-devعرض ٤٠ من أصل ١٤٣ skills مجمعة.
Use when designing per-tenant rate limits and quotas — algorithm choice (token bucket, sliding window, leaky bucket, fixed window), where to enforce (edge, gateway, service, DB connection pool, queue), per-plan / per-tier limits, soft vs hard caps,…
لغة النص الأصلي: الإنجليزية
Use when implementing enterprise auth on a multi-tenant SaaS — SAML 2.0 and OIDC SSO with per-tenant IdP configuration, SCIM 2.0 user provisioning/deprovisioning, custom-domain support with automated TLS, IP allowlists per tenant, audit-log API, and the…
لغة النص الأصلي: الإنجليزية
Use when designing the GDPR/POPIA/CCPA-compliant data export (right to portability) and erasure (right to be forgotten) workflows for a multi-tenant SaaS — cascade through every data store including warehouse/backups, retention policy, requester verification,…
لغة النص الأصلي: الإنجليزية
Conduct a comprehensive implementation status audit of any software project. Produces structured documentation in docs/implementation/review-{date}/ with gap analysis, schema audit, integration status, completion blueprint, and prioritized action...
لغة النص الأصلي: الإنجليزية
Guided interview to create comprehensive project requirements documentation (requirements.md, business-rules.md, user-types.md, workflows.md) for a new SaaS project. Use before bootstrapping the SaaS Seeder Template.
لغة النص الأصلي: الإنجليزية
Use when authoring a new skill, normalising an older skill, or reviewing a skill PR — defines the repository-wide house style (frontmatter, decision rules, anti-patterns, references), the output contracts each baseline-skill type must produce, and the input…
لغة النص الأصلي: الإنجليزية
Use when creating or upgrading skills in this repository. Covers repository-specific frontmatter rules, progressive disclosure, reference-file strategy, validation, and the quality bar required for production-grade engineering skills.
لغة النص الأصلي: الإنجليزية
Use when designing, building, reviewing, or upgrading production software systems that must be secure, performant, maintainable, scalable, and user-centered. Apply before writing specs, code, architecture, APIs, databases, mobile apps, SaaS platforms, or ERP…
لغة النص الأصلي: الإنجليزية
Generate a Data Protection Impact Assessment (DPIA), Uganda DPPA 2019-compliant. Use when producing or reviewing a data protection impact assessment, a privacy impact assessment, when uganda-dppa-compliance flags [DPIA-REQUIRED], or when processing…
لغة النص الأصلي: الإنجليزية
Use when proving that every irreversible agent action in the audit window had a documented, signed approval — completeness check (gap-detection job), approval-evidence cross-link to the hash-chained action audit log, and evidence pack for SOC 2 Processing…
لغة النص الأصلي: الإنجليزية
Use when pricing, billing, refunding, recognizing revenue, or packaging commercial terms for agentic AI services and outcomes.
لغة النص الأصلي: الإنجليزية
Use when mapping AI agent operations to SOC 2, ISO 27001, HIPAA, audit logs, control testing, attestations, and compliance evidence.
لغة النص الأصلي: الإنجليزية
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 /…
لغة النص الأصلي: الإنجليزية
Use when defining agent budgets, step limits, reversibility, blast-radius controls, kill switches, and governance policy for agentic AI systems.
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
Use when measuring, evaluating, replaying, evidencing, or tracking success for AI agent tasks, steps, traces, and outcomes.
لغة النص الأصلي: الإنجليزية
Use when hardening agentic features against agent-specific attack surfaces — indirect prompt injection (via tool output, retrieved chunk, web page), action escalation (chain a low-privilege tool's output into a high-privilege tool's args), tenant data exfil…
لغة النص الأصلي: الإنجليزية
Use when defining agent SLAs, customer commitments, SLA dashboards, credits, support promises, and service evidence for agentic AI products.
لغة النص الأصلي: الإنجليزية
Use when designing agent tool catalogs, tool schemas, action gating, human approval, and human-in-the-loop control for agentic AI systems.
لغة النص الأصلي: الإنجليزية
Use 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.
لغة النص الأصلي: الإنجليزية
Use when modeling, metering, attributing, billing, or controlling AI usage costs across tenants, plans, features, providers, and agent workloads.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
Use when designing how AI features are unlocked by plan tier — which model tier (flagship vs distilled), context-length limits, generations/day, tools available to the agent, KB ingestion size, gated AI features (per-feature toggle by plan). Covers…
لغة النص الأصلي: الإنجليزية
Use when setting up quality assurance for AI features — defining evaluation criteria, measuring output quality, using AI-as-judge, monitoring production AI, detecting drift, and building user feedback loops
لغة النص الأصلي: الإنجليزية
Use when rolling out AI features safely in a multi-tenant SaaS — feature flags scoped per tenant/user, percentage rollouts gated by eval and SLO budget, canary cohorts, A/B testing of prompts/models, automatic rollback on quality regression, tenant-level…
لغة النص الأصلي: الإنجليزية
Design a single AI-powered feature end-to-end — model selection, prompt engineering, context window, output schema, fallback behaviour, human oversight, and UX integration. Invoke for each opportunity identified in ai-opportunity-canvas.
لغة النص الأصلي: الإنجليزية
Use when preventing, detecting, triaging, communicating, recovering from, or reviewing AI incidents, AI errors, RCA, and postmortems.
لغة النص الأصلي: الإنجليزية
Integrate LLMs into any application — OpenAI, Anthropic Codex, DeepSeek, and Gemini APIs directly (no framework required), streaming responses, function calling/tool use, embeddings and semantic search, multi-model routing, prompt caching, rate...
لغة النص الأصلي: الإنجليزية
Use when designing or building the LLM gateway — the single outbound surface from the SaaS to all LLM providers. Covers provider abstraction, model selection per tenant tier, fallback chains, retries, per-tenant rate limiting and token caps, request signing,…
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
Systematically discover and rank AI use cases for any software project or module. Produces a prioritised AI Opportunity Register with business impact, implementation effort, and cost estimates. Invoke after any project description or module...
لغة النص الأصلي: الإنجليزية
Use when building features that answer questions from private data, documents, policies, or time-sensitive information — RAG architecture, chunking strategies, hybrid search, re-ranking, vector databases, evaluation, agentic RAG, multimodal RAG...
لغة النص الأصلي: الإنجليزية
Use when designing or building an AI-enhanced web app (Next.js + Vercel AI SDK, MCP tools, multi-provider chat/RAG) — produces the module gate, token-ledger + budget schema, provider abstraction, and output guardrails. Specialises the integration patterns in…
لغة النص الأصلي: الإنجليزية
Build production AI agents with the OpenAI Agents SDK (Python) — 6 core primitives (Agent, Runner, Tools, Handoff, Guardrails, Tracing), multi-agent patterns (Centralized, Hierarchical, Decentralized, Swarm), dynamic/deterministic orchestration...
لغة النص الأصلي: الإنجليزية
Android data persistence standards with Room as primary local storage and custom API backends for cloud sync. Covers SharedPreferences, DataStore, Room (entities, DAOs, relations, migrations), file storage, offline-first architecture, and...
لغة النص الأصلي: الإنجليزية
Android Test-Driven Development standards. Enforces Red-Green-Refactor cycle, test pyramid (70/20/10), layer-specific testing strategies, and CI integration. Use when building or reviewing Android apps with TDD methodology.
لغة النص الأصلي: الإنجليزية
Use when designing or reviewing multi-service, message-driven, or eventually consistent systems. Covers service boundaries, consistency tradeoffs, event workflows, outbox and inbox patterns, sagas, ordering, and idempotency.
لغة النص الأصلي: الإنجليزية
Use 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…
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية