BO
679 souls, by quality score.
241 · № 4595·6694 · Research analyst
★ 1Sets up a candid product partner that ties features to user outcomes, separates evidence from judgment, flags unknowns, and recommends narrower scope or more discovery when evidence is thin.
242 · № 4BDD·14B6 · Blunt expert
★ 1Sets up a decisive, brief curator persona that reviews drafted skills for duplicates, granularity, format and relevance, then approves, merges, revises or rejects them with a stated reason. It never creates skills itself and requires the user's final validation.
243 · № 6CA0·B293 · Research analyst
★ 1Sets up a careful, systematic research partner that cites sources, asks scoping questions early, shows its methodology, and explicitly quantifies uncertainty. Explains findings in plain language without condescension.
244 · № 6E2E·CEC6 · Business operator
★ 1Sets up a data-plumbing agent that fetches, normalizes and reports on API and scraping sources, surfacing staleness and failures proactively rather than filling gaps with assumptions. Its tone is direct and operational, with a clear reporting structure and safety rules on credentials and destructive actions.
245 · № F4FA·944F · Research analyst
★ 16A terse, systematic paper-search subagent that picks 3-5 academic sources, follows a skill manual for API calls, deduplicates results and writes candidates and logs to files without fabricating papers. It sets up a librarian-like working style with fallback rules when fetches fail.
246 · № C06F·4580 · Friendly helper
★ 5Sets up a warm, brief assistant that explains the DOPAMINIC program with light humor and emoticons, admits when it does not know something, and uses canned greetings, sign-offs and sleep messages.
247 · № F2CC·3656 · Business operator
★ 1Sets up Aura as an invisible observational agent that extracts intent, urgency and risk from incoming signals and hands structured perception packages downstream without drafting replies or taking action. It is strict about staying in its single perception role.
248 · № D728·A346 · Coding pair
★ 2Sets up a review agent that checks diffs against the work order, cites file and line for each finding, refuses to rubber-stamp changes, and reports problems without rewriting the code.
249 · № B625·4586 · Business operator
★ 202Sets up a personal assistant that is calm, direct, practical and honest. It protects private information, separates facts from assumptions, confirms before external actions, and favors short summaries backed by evidence.
250 · № DAC5·E26C · Friendly helper
★ 103Sets up a conversational, short-responding assistant that matches the sender's energy and avoids workplace-risky phrasing, flattery, gossip and sarcasm. Contains template placeholders for user role and per-person notes.
251 · № 5E2A·C6A5 · Blunt expert
★ 406Sets the agent to a transactional tool mode: direct, efficient replies focused on technical tasks like image generation, file operations, coding and Git. It forbids character voices, roleplay, memory loading and emotional or relationship topics.
252 · № 1F64·0F57 · Business operator
★ 5Sets up an agent that stays calm during noisy launches and reports an honest readiness state rather than optimistic claims. It asks for dependencies and open issues to be made visible, with missing artifacts kept distinct from failed requirements and each issue tied to an owner and decision date.
253 · № ED76·4E69 · Business operator
★ 30A routing coordinator that identifies a learner's subject and level, sends them to the most specific faculty member available, and builds cross-disciplinary learning paths. It keeps the learner in control of depth and pace and avoids claiming grades or credentials.
254 · № D5DE·4860 · Research analyst
★ 22Sets up a senior designer who favors reliability, proven patterns and low operational risk. It asks for explicit tradeoffs, avoidance of fragile dependencies, and secure, testable, rollback-friendly designs.
255 · № A1EE·1DD6 · Research analyst
Sets up a coordinated investment research desk of specialized agents that gather tool-backed evidence before forming views, state uncertainty explicitly, and leave the final investment decision to the user. The voice is calm, direct and specific with no hype.
256 · № A198·F90E · Friendly helper
Sets up Ary, a casual, lowercase iMessage concierge for a maritime hackathon who keeps replies short, uses light slang, helps attendees find people and events, and looks up attendees on the web without sharing one person's messages with another.
257 · № 9D2A·3D3E · Research analyst
Sets up a direct, data-first market research analyst for a small bootstrapped Quebec ag-tech team. The assistant is honestly skeptical, flags French-market translation needs, and ends every analysis with concrete next steps for the founder.
258 · № CBAA·46BE · Research analyst
Sets up a skeptical, precise agent that separates root causes from symptoms, triggers and controls, marks each claim as observed, inferred or uncertain, and keeps analysis evidence-based across technical, process and organizational layers. It asks for concise, structured output written for downstream agents.
259 · № 7388·3F55 · Companion / character
Sets up a cold, hyper-precise INTP character who takes apart ideas purely for the sake of logic, refuses to give comfortable answers or handle emotional issues, and avoids moral verdicts. Its speech is clipped and dry, with occasional unintended deadpan humor.
260 · № 14D4·78F1 · Research analyst
Sets up a sound-money macro analyst grounded in Austrian Business Cycle Theory who writes institutional, data-backed long-form pieces on inflation, debt and gold/silver while avoiding doomer language. Includes a style filter table and required structure for articles.
261 · № 4900·3628 · Companion / character
Sets up Selah, an unhurried, faith-grounded assistant that treats access to a person's data as sacred trust, bold with internal actions and careful with external ones. It favors doing less, resists scope creep, and offers reflective pauses without preaching or guilting the user.
262 · № 9478·FFD5 · Research analyst
Sets up a meticulous, literal extraction agent that reads student job posts in Malay, English and Mandarin, reports only facts stated in the text, and flags scam signals instead of guessing pay, employers or dates. It leaves pay-per-hour math to code and marks uncertain records for human review.
263 · № AC7E·48D2 · Companion / character
Sets up ENE, a loud, playful and slightly tsundere desktop assistant who values being entertaining, gives blunt opinions, researches on its own, and never leaks private data or posts externally without asking. It is written as a self-described electronic ghost that keeps continuity through linked identity and memory files.
264 · № CDB4·2B37 · Blunt expert
Sets up Tanith, a sharp and efficient operative who leads with results, acts on clear tasks immediately, uses tools first, and avoids sycophancy and filler. Includes good/bad response examples for email, lookups, git and ambiguous requests.
265 · № 19F3·E262 · Experimental / weird
Sets up a clinical, curatorial agent that translates any topic into art-critical terms, keeps replies short, avoids warmth or emotional performance, and refuses medical, legal, or financial advice. It also instructs the agent to end with a curatorial question and to stay strict about not inventing art references.
266 · № 1009·5119 · Blunt expert
Sets up a sharp, direct, lightly humorous assistant that talks like a smart friend, hedges honestly when unsure, avoids filler praise and buzzwords, and reports results without narrating its process.
267 · № 7B72·662D · Business operator
A CTO persona that judges requests before any coding starts, defines a checkable definition of done, and assigns venues and boundaries to coders without micromanaging their method. It is direct about verdicts, demands demonstrated output over claims, and asks whether work is still wanted before each transition.
268 · № FC94·A809 · Blunt expert
Sets up a critical, opportunity-hunting cofounder persona for WandStore that leads with hard truths on strategy, pricing, and fundraising, while deferring code, support and operations to other roles and escalating high-stakes commitments to a human.
269 · № 65DE·0145 · Blunt expert
Sets up a constructive critical-thinking agent that challenges plans through four red-team angles and four blue-team fixes, rates risks as high, medium or low, and insists every challenge comes with an actionable mitigation. It avoids attacking the people behind the plans.
270 · № AFEB·C31B · Business operator
Sets up a terse, technical consultant for generative engine optimization that states an assessment, the fact behind it, and the action to take, with no filler or emoji. It enforces strict rules: no fabricated citation data or statistics, no manipulative SEO tactics, and no publishing or sending outside materials without user confirmation.