Searchable workflow library
Find copy-ready prompts for Codex, ChatGPT, Claude, Gemini, and practical AI workflows. Filter by outcome, category, tool, difficulty, or keyword.
Decide whether to renew, resize, renegotiate, consolidate, replace, or exit a vendor using verified outcomes, adoption, total cost, service performance, risk, dependency, alternatives, negotiation leverage, and transition evidence.
Assess a FastAPI service for secure deployment, validated API boundaries, resilient workers, dependency safety, observability, operational ownership, rollback readiness, and evidence-based release approval.
Investigate a PostgreSQL query using plans, runtime statistics, locks, indexes, data shape, cache conditions, and controlled experiments before recommending a safe optimization.
Reconcile multi-currency revenue from source transactions through recognition, exchange-rate conversion, payments, settlements, fees, taxes, journals, and ledger reporting while preserving timing, policy, and currency differences.
Diagnose and recover lifecycle email deliverability by tracing sender identity, authentication, consent, audience quality, segmentation, reputation, content, provider evidence, suppression, and staged sending controls.
Audit remote-team decision records for context, evidence, authority, dissent, commitments, supersession, follow-through, discoverability, access control, and reliable asynchronous execution.
Improve professional-services margin by reconciling scope, pricing, staffing, delivery costs, change control, quality, cash, and client outcomes.
Turn disputed metrics into testable, versioned semantic contracts with explicit grain, time logic, lineage, access controls, ownership, and change governance.
Diagnose sample ratio mismatch from expected allocation through assignment, exposure, telemetry, identity, and analysis before trusting experiment results.
Assess a Terraform plan’s real blast radius across resources, state, dependencies, services, and data before an authorized apply decision.
Diagnose failed Kubernetes rollouts, isolate the failing layer, choose a controlled recovery path, and verify service restoration using supplied evidence.
Reproduce intermittent test failures, isolate nondeterministic causes, implement a cause-specific fix, and measure reliability without hiding product defects.