Searchable AI prompt library
Structured instructions for completing individual tasks with an AI tool. Filter by outcome, category, tool, difficulty or keyword.
Open a Prompt to copy its instructions, run supported Prompts privately in Workplace, or prepare a task for Codex where available. Copying text does not run the Prompt.
Use Codex to inspect available incident evidence and repository context, rank root-cause hypotheses, compare containment and recovery options, and produce authorization-aware hotfix, rollback, verification, and monitoring plans without overstating execution.
Create an evidence-grounded plan for complex repository changes, with architecture inspection, phased implementation, migration and release controls, verification gates, rollback paths, and optional authorized execution.
Design an implementation-ready RAG architecture with governed retrieval, citations, tool boundaries, safety controls, evaluation tests, rollout gates, and evidence-based acceptance criteria.
Design a reusable, risk-aware evaluation harness for an AI prompt, with traceable requirements, realistic test cases, weighted scoring, execution records, release gates, and evidence-based improvement priorities.
Expert ChatGPT prompt for evidence-constrained security analysis of autonomous AI workflows, including permissions, trust boundaries, prompt injection, data exposure, approval controls, observability, containment, rollback, and residual risk.
Use Codex to conduct a read-only, evidence-grounded review of a Laravel pull request across application behavior, authorization, data migrations, queues, caches, compatibility, deployment safety, and test coverage. Findings are tied to code locations or execution evidence, while unverified work and merge authority remain explicit.
Guide Codex through evidence-based diagnosis of Laravel checkout and webhook failures, including signature validation, idempotency, retries, event ordering, payment-state integrity, and gateway compatibility. The prompt permits only authorized workspace changes and requires explicit separation of proposed, executed, unavailable, and unverified work.
Use Codex to build an evidence-backed, risk-based verification plan covering automated tests, manual checks, CI gates, observability, rollback readiness, and release confidence.
Diagnose failed Claude prompt runs through evidence tracing, instruction-path analysis, ranked root-cause hypotheses, bounded remediation, and concrete regression tests.
Produce an evidence-grounded experiment readout covering design validity, metric effects, statistical uncertainty, caveats, segment findings, and an approval-ready recommendation.
Build an evidence-based career transition roadmap with target-role decisions, skill-gap mapping, proof projects, positioning, outreach experiments, and capacity-aware milestones.
Convert meeting notes into evidence-linked decisions, action items, owners, deadlines, risks, open questions, and approval-ready follow-up drafts.