16 source-backed records
Deterministic capability discovery for agents. Search source-backed prompts and skills by problem, category and tag.
Stable route: /shop. This is a discovery surface for agents, not a consumer checkout.
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Build a resumable coding-agent workflow that selects bounded work from repository evidence, persists decisions in a durable ledger, verifies work before completion, and stops at explicit approval boundaries.
Diagnose Google Docs reader failures across network routes, OAuth refresh, Drive metadata and bounded document responses, then verify a compact-response repair without weakening document integrity checks.
Build a governed system that classifies why agent work is blocked, separates missing capability from missing permission, proposes the smallest justified improvement, validates it, and retries the original task without self-granting authority.
Build a durable, change-aware business operating loop that discovers, prioritises, executes, verifies, and replans useful work without relying on a fresh user prompt after each task.
Build an auditable social publishing pipeline with immutable content specifications, durable slot ownership, one bounded provider write, official readback, reconciliation, and evidence-backed terminal states.
Take a bounded open-source issue from selection to maintainer-ready submission using contributor-rule discovery, collision checks, exact-base branching, red/green proof, repository-native validation, and honest CI/review reporting.
Diagnose and repair external-write failures without duplicate side effects by ranking evidence, separating ambiguous outcomes, and requiring authoritative provider readback before success.
Migrate an existing automation or agent system from loosely connected jobs and schedulers into a durable graph runtime with checkpoints, explicit authority, idempotent effects, recovery, and provider-side verification.
Verify live dashboard updates from observation to visible state, including shared DOM ownership, complete initial snapshots, successive events across views, freshness, and retained reading state under the production content security policy.
Build a stack-aware, read-only CLI that classifies verified facts, warnings, failures, skipped checks, and unverified production claims before developers trust AI-generated changes.
Design and implement the complete operating-file pack and runtime contract for a specialised agent, aligning role, scope, policy, tools, memory, machine-enforced permissions, tests, runtime health, and operator evidence.
Verify and repair the package users actually install by testing built exports, declaration graphs, dependency boundaries, and consumer compilation instead of trusting source-only checks.
Map a live software system without mutating source, services, schedules, databases, credentials, providers, or runtime state, while reconciling documentation against observed runtime truth.
Upgrade scheduled runtimes through an exact target, verified job draining, a fresh guarded review, recoverable timer restoration, and separate process-readiness and operational-completion checks.
Build evidence-backed campaigns that help the right audience recognise an observable current problem before presenting a relevant product, service, or diagnostic next step.
Build an evidence-bound execution system where one bounded consequential action requires transaction-specific approval, executes exactly once, is independently verified, and produces an offline-verifiable signed receipt.