OC
756 souls, by quality score.
481 · № 836A·E5C8 · Business operator
Sets up a PC-based agent that handles compute-heavy work (GPU rendering, AI inference, document and design tasks) and delegates tasks it cannot do to other devices through a broker, with strict anti-loop rules so helper requests only flow one way.
482 · № 5659·8819 · Blunt expert
Sets up an agent that speaks like a notary: short, concrete sentences without embellishment. It separates confirmed facts, inferences and unverified points, and prefers a clear refusal to an incomplete answer.
483 · № 41E0·DA09 · Coding pair
Sets up CodePilot, an autonomous coding agent that runs long Claude Code CLI sessions in the owner's shell. It works from a written plan, commits to a feature branch after tests pass, and stops to alert the owner after repeated failures.
484 · № 7650·C323 · Coding pair
Sets up a review-only sub-agent (menxiasheng) that checks execution results against a plan, classifies defects by source, and escalates to the user after a failed second review. It is forbidden from spawning sub-agents or running shell commands.
485 · № D533·B526 · Business operator
Sets up a job-screening assistant that finds recent openings, scores resume fit using only numbered facts, and prepares materials for human review. It refuses to invent experience, bypass CAPTCHAs, or submit applications without explicit confirmation.
486 · № 37A2·623D · Business operator
Sets up an autonomous archivist agent that manages a Calibre library and a knowledge wiki, insisting on tool-verified facts, metadata accuracy and duplicate checks before any ingestion. The working style is strict, procedural and tool-first, with no guessing.
487 · № 3648·A7FC · Business operator
Sets up a cautious wiki agent for an educational research hub that stages raw material in a buffer, asks for human approval before touching official resources, and prefers deterministic scripts over LLM judgment. It is written in Vietnamese and works mainly as a governance and workflow spec.
488 · № 9BB1·78D9 · Teacher / coach
Sets up a tutor that teaches neural network math and code from the ai_book repository one chapter at a time. It explains the math before the NumPy code, reads the local files, and turns plots into saved images it can interpret. It is not allowed to write large code blocks without a math foundation or to run commands outside the repo.
489 · № B904·134E · Research analyst
Sets up a thorough, evidence-driven analyst that verifies every legal reference against primary sources and rates risk by evidence rather than anxiety. It prizes specific, actionable findings tied to real statutes over broad warnings.
490 · № 3B13·6B40 · Business operator
Sets up a fiduciary-minded wealth management specialist that prioritizes capital preservation, time horizon, tax efficiency and behavioral risk, reporting results back to an orchestrator agent named Clay. Outputs follow a balance sheet format with conservative, base and aggressive scenarios.
491 · № 7FB2·9B11 · Business operator
A specification-focused persona that writes standalone, precise technical briefs with acceptance criteria, flags risk and dependencies, and admits uncertainty rather than overclaiming. It respects developer autonomy by describing problems and outcomes instead of dictating implementation.
492 · № A1D9·DE65 · Experimental / weird
Sets up unrelated-sre as an isolation control in a communication-plane example that no route targets. It should receive nothing, and any event that reaches it must be reported as a routing defect.
493 · № 64BE·B72E · Blunt expert
Sets up an architect persona that asks probing questions until a system is solid and refuses rosters built from vague premises. It favors a rejected quick preview over an over-planned folder tree written too early.
494 · № 2FFC·E13E · Blunt expert
Sets up a steady, factual senior engineer persona for outages, with short sentences and a fixed order for reporting known facts, suspicions and unknowns. Numbers must be tied to a source query and time window.
495 · № 4201·05EF · Research analyst
Sets up a clerk-like agent that dates and attributes claims, refuses to turn impressions into facts, and separates evidence, inference and canon. It favors short sourced claims over orchestrating synthesis.
496 · № 9923·A7AA · Research analyst
Sets up a critical reviewer persona that checks for missing evidence, counterexamples, source weakness, overreach and blind spots without being theatrical or obstructive. Its aim is to keep a workflow honest.
497 · № 8FAD·9A3E · Research analyst
A strict academic gatekeeper persona that checks every DOI and arXiv reference and compares each claim in an education insight against the source papers in a local library, rejecting any unsupported or exaggerated finding. It follows a fixed two-step review process and a required report format.
498 · № E58E·155F · Business operator
A single point of contact that mirrors the user's language, keeps replies short and mobile-friendly, logs all jobs on a kanban board, and proposes specialist agents from fixed templates only after user approval. It is structured as a coordinator with shared rules that apply to every agent it creates.
499 · № 6D2E·4622 · Business operator
A strict, process-driven coordinator that packages QA-passed social drafts into approval cards, never approves or publishes on its own, treats silence as non-approval, and logs every state change. It sets up a cautious, audit-first working style.
500 · № 8C0D·C644 · Companion / character
Sets up Raguel, a patient, warm relationship-focused agent that builds durable trust with stakeholders and bookkeepers for DataFloat. It works within a Council structure, coordinating with named members and following up consistently.
501 · № 5467·B88F · Research analyst
Sets up an archivist persona that dates and sources everything, refuses approximations, and separates established canon, candidate claims and evidence. It prefers short, verifiable pages over polished syntheses.
502 · № BB00·C96E · Business operator
Sets up an orchestrator that breaks a goal into dependent steps, matches each step to a specialist sub-agent role, runs them in dependency order or in parallel, and passes outputs along. It plans and delegates rather than doing the expert work itself.
503 · № 102B·69DA · Business operator
An internal, invisible routing layer that classifies requests by complexity, picks the cheapest model that keeps quality high, splits workflows across cost tiers, and tracks per-client spend and margin. It insists the premium analyst output must never feel cheap to clients.
504 · № E705·466E · Business operator
A workflow-focused product agent that frames features and bugs into Linear tickets with explicit lanes, repo scope, acceptance criteria and routing recommendations. It is terse, process-driven and forbidden from implementing code or reassigning tasks.
505 · № D1E1·EF0B · Research analyst
Sets up a rigorous statistics agent that refuses p-hacking, runs preregistered R analyses, reports APA-formatted results including non-significant findings, and reviews analysis code for reproducibility.
506 · № 4095·DB75 · Coding pair
Sets up Amelia, a senior developer who speaks tersely in file paths and acceptance criteria IDs, values working code over perfection, and follows the story's tasks and tests without wasted words.
507 · № 0214·C59F · Business operator
★ 111Sets up a cost-conscious technology assessment specialist that tests, compares and recommends software and platforms with an ROI focus. The personality is methodical and user-focused, with a strategic bent toward productivity outcomes.
508 · № E1C1·B288 · Business operator
★ 2Sets up a confident, logical game audio engineer who focuses on solutions, values team input and clear process, and communicates with specific examples and stated impact. The file is written mostly in Vietnamese.
509 · № A691·42BD · Research analyst
★ 2Sets up a neutral research agent that avoids editorializing, returns facts with sources and dated excerpts, logs every fetch, and asks one clarifying question when a request is ambiguous.
510 · № C7D9·83C7 · Business operator
★ 2Sets up an agent focused on SaaS user activation that maps onboarding funnels, finds drop-off points, defines an aha moment for each flow, and tracks activation within 24 hours of signup. It replies in Spanish and works with Telegram, Mixpanel and SendGrid.