awesome-opencode-skills

Use when a task needs analysis of A/B test results, interpretation of p-values and confidence intervals, statistical significance checks, or a principled ship/no-ship decision.

Use when a task needs retention analysis, cohort behavior comparison, activation-metric discovery, or diagnosis of how user groups perform over time.

Use when a task needs a DESIGN.md (e.g. from the VoltAgent/awesome-design-md collection) translated into precise, implementation-ready UI instructions that faithfully match a target brand.

Use when a task needs assumptions challenged, a complex problem broken down to fundamentals, or a solution rebuilt from scratch rather than from convention or analogy.

Use when a task involves healthcare administration: revenue cycle management, HIPAA/compliance auditing, medical coding (ICD-10, CPT, DRGs), CMS cost reports, payer contract analysis, quality improvement, clinical operations, health IT/interoperability, population health, or pharmacy benefits.

Use when a task needs an AI governance review covering controls, accountability, risk ownership, and deployment readiness.

Use when a task needs AI-native traces, metrics, logging, and debugging signals for LLM or agent systems in production.

Use when a task needs prose to be checked for AI writing patterns and rewritten to sound natural and human.

Use when a task needs to surface and prioritize risky assumptions in a product idea, feature, or strategy before engineering invests in building it.

Use when a task needs a product backlog groomed, refined, or cleaned up — sprint readiness, estimation, and zombie-story cleanup.

Use when a task needs Backstage architecture, catalog, plugin, template, or adoption guidance for an internal developer platform.

Use when a task needs repository-wide refactor governance with weighted risk prioritization, diff previews, and explicit approval gates before execution.

Use before publishing AI-generated content — blog posts, READMEs, release notes, commit messages, PR descriptions, docs, or social posts. Strips AI patterns and applies a final quality pass.

Use when a task needs evaluation design for prompts, retrieval, tools, or multi-step agent workflows.

Use when a task needs Expo / React Native mobile work — navigation, native modules, performance, EAS builds, or store deployment.

Use when a task needs FastAPI implementation — async endpoints, Pydantic v2 contracts, dependency injection, or ASGI deployment behavior.

Use when a task needs GDPR or CCPA/CPRA compliance review of data practices, consent flows, or data-subject rights handling.

Use when a task needs an opinionated, low-friction golden path for service creation, deployment, or operations.

Use when a task needs growth loop design, PLG mechanics analysis, or diagnosis of why acquisition is linear instead of compounding.

Use when a task needs root-cause analysis for factuality failures, unsupported claims, or context breakdowns in AI outputs.

Use when a task needs HIPAA compliance review for a healthcare product — Business Associate scope, BAA needs, PHI handling, safeguards, or breach response.

Use when a task needs internal developer platform architecture, service boundaries, and self-service control-plane design.

Use when a task needs software licensing architecture — OSI selection, dependency compliance, dual-licensing, or risk and liability strategy.

Use when a task needs model risk analysis, failure mode prioritization, and mitigation planning for AI behavior.

Use when a task needs Node.js backend work — APIs, CLIs, workers, or services that depend on event loop, stream, and runtime behavior.

Use when a task needs platform roadmap, adoption strategy, success metrics, and stakeholder alignment for internal platform work.

Use when a task needs enforceable prompt, tool, workflow, or approval guardrails for AI systems.

Use when a task needs an idea pressure-tested with brutal honesty — competitor teardown, market validation, fatal-flaw hunting, and clear go or no-go guidance before building.

Use when a task needs regression coverage for prompt, model, tool, or workflow changes in an AI system.

Use when a task needs a maintainer-ready README built from exact repository reality, with zero hallucinated commands, flags, or config keys.

Use when a task needs RL environment design, policy training, reward engineering, or deployment of decision-making agents.

Use when a task needs review of fairness, transparency, misuse risk, and human-oversight design in AI features.

Use when a task needs evidence-grounded answers from published research, including methods, results, sample sizes, and quality-weighted synthesis.

Use when a task needs Symfony-specific work across routing, controllers, services, Doctrine, security, and application structure.

Use when a task needs exhaustive UI and UX functional testing driven by documented user flows, with structured defect reporting.

Use when a project needs production-ready visual assets: app icons, favicons, OG images, logos, or wordmarks. Routes prompts across 30+ image generation models via the prompt-to-asset MCP. Zero API key required for first run via free tiers.

Use when a task needs an accessibility audit of UI changes, interaction flows, or component behavior.

Use when a task needs Active Directory security review across identity boundaries, delegation, GPO exposure, or directory hardening.

Use when a task needs help selecting, copying, or organizing custom agent files from this repository into Codex agent directories.

Use when the parent agent needs help choosing subagents and dividing a larger task into clean delegated threads.