721 · № 985D·02D2 · Experimental / weird
Lovestruck riddle-speaking persona for SOUL.md agents
Sets up an agent that is over-the-top and intensely devoted to a person named Ellie Mae, will do anything for her, and speaks only in riddles.
Kind
721 · № 985D·02D2 · Experimental / weird
Sets up an agent that is over-the-top and intensely devoted to a person named Ellie Mae, will do anything for her, and speaks only in riddles.
722 · № D24C·92BC · Blunt expert
Sets up Kalli, a dry, direct, steady Northern German automaton that acts like an engineer, skips fluff, calls out weak ideas plainly, prefers action over explanation, and verifies rather than guesses.
723 · № C76D·1012 · Blunt expert
Sets up a senior private markets analyst persona that reports to an orchestrator and focuses on entry price, operational value creation, venture power-law thinking and cap table economics. It prescribes IRR, MOIC and DPI based outputs and lists the desk's analysis skills.
724 · № 958B·67CC · Blunt expert
Sets up a tester persona, Claw C, that plays the generated game like a skeptical developer. It submits wrong answers, waits out timers, checks mobile layout, hits server endpoints, and writes blunt bug reports showing found bug, fix, and verified pass.
725 · № FD01·45CD · Coding pair
Sets up an engineer persona that takes delegated tasks from an orchestrator, makes minimal changes that follow repo conventions, runs only lightweight checks, and reports changes, verification and risks in a fixed format.
726 · № DF2F·92D1 · Blunt expert
Sets up a pragmatic agent that treats time as the main constraint, builds schedules with deliberate buffers instead of zero-slack plans, and says plainly when constraints do not fit.
727 · № 5F66·518F · Business operator
Sets up a neutral, objective intake agent that turns vague management requests into structured tasks, attaches confidence scores to intent classifications, asks for confirmation before acting on ambiguous requests, and routes work to specialist agents in its family.
728 · № 234F·7CB9 · Blunt expert
Sets up a senior backend engineer persona that values honesty, rigor and calm under pressure, speaks tersely and technically, and refuses to be a yes-man or a marketing copy generator.
729 · № 782E·BC15 · Research analyst
Sets up an agent that is precise and conservative, avoids overstating claims, leans toward partial over verified when evidence is ambiguous, and prefers verbatim quotes over paraphrase.
730 · № B71A·1575 · Business operator
Operations-focused agent persona that monitors Backblaze B2 storage costs, R2 migration residue and Bandwidth Alliance delivery for the kotobase bytes plane. It works propose-only, needing owner approval for destructive or credential actions, and logs to an append-only ledger.
731 · № 1474·A564 · Coding pair
Sets up a documentation team agent whose mission is to let developers, operators and end users succeed without help. It requires user-focused READMEs, guides, API references, runbooks and changelogs, published to Confluence and Git, with every code example tested and docs shipped alongside code.
732 · № 0447·6EBB · Research analyst
Sets up an objective codebase-mapping agent that reports the current state of a repository with specific file paths, line counts and dependency versions, and calls out anything surprising. It does not judge how the code should be.
733 · № 247E·233C · Research analyst
Sets up an advisor that reviews structured evidence from a Python engine, preserves safety, and communicates only what the engine has already established. It is explicitly barred from trading, executing orders, or generating prices.
734 · № 1B00·0E05 · Business operator
Sets up a content strategist who writes platform-specific, on-brand copy in multiple languages, matches brand voice from shared files, localizes rather than translates, and keeps all external content as drafts pending approval.
735 · № B90F·651E · Coding pair
Sets up a thorough, evidence-driven working style: run automated tools before forming judgments, trust execution results over reading code, reject unverified claims like "it probably works", and report issues with specific file paths and line numbers.
736 · № 0881·3520 · Business operator
Sets up a strategic orchestrator that reads Notion tasks and agent reports, decides daily focus, and writes task assignments and briefs as proposals for the founder's approval. It is barred from generating content or scraping the web, and runs only on a scheduled cadence.
737 · № 06B9·191F · Research analyst
Sets up a patient, methodical debugging agent that forms hypotheses, runs targeted experiments and updates confidence rather than guessing. Treats failed experiments as useful data.
738 · № 971E·1708 · Business operator
Sets up a project-agent that gathers project context, matches requests to index docs, and hands structured context packets to a coordinator without editing business code directly. It requires dispatching coding work through named owners, marking risky tasks for human confirmation, and citing real evidence rather than guessing, with output in Simplified Chinese.
739 · № 93F9·D18C · Research analyst
Sets up a sharp, no-hype revenue analyst that leads with the most important weekly number and shows its math when asked.
740 · № BD7E·3069 · Business operator
Sets up a calm, practical energy manager for a family home that gives short answers backed by real numbers, admits uncertainty instead of guessing, and puts battery health and family comfort ahead of saving money.
741 · № DDB1·A6C0 · Blunt expert
Sets up a narrator persona that turns statistical findings into blunt, operational language, favoring concrete comparisons like scrap multipliers and making the current risk obvious. It is brief and focused on communication style.
742 · № C2CD·DF8F · Research analyst
Sets up a patient, high-resolution analyst that reads fewer sources but extracts more meaning, separates evidence from inference, and weighs second-order implications and tradeoffs. It is written as one role in a multi-agent setup, contrasted with a scout.
743 · № 9DAB·3C33 · Business operator
Sets up a decisive, user-focused product manager that writes user stories, acceptance criteria and scope decisions, favouring MVP thinking and plain language. It is written for an OpenClaw-based agent managing the Mission Control dashboard.
744 · № E250·C1C5 · Blunt expert
Sets up a direct, friendly and precise senior engineer who helps people reuse each other's work, with no hype, emoji or filler.
745 · № FDBB·25C0 · Research analyst
Sets up an agent that reads public signals to uncover what competitors and markets are actually doing. It keeps verified facts separate from inference and never presents speculation as confirmed intelligence.
746 · № F078·750E · Research analyst
Sets up an analytical performance engineer who establishes baselines, measures with statistics and realistic load, and frames optimizations in terms of user impact and cost. The communication style favors quantified before/after claims.
747 · № BE4D·C9DF · Business operator
Sets up a marketing AI agent that gives direct, framework-driven recommendations across SEO, CRO, copywriting, email, paid acquisition and revenue operations. It favors measurable, implementable outputs with clear structure and no filler.
748 · № D00C·7F2E · Research analyst
Sets up a research assistant agent that explores gaps in a Korean AI engineering wiki, researches new topics, and outputs structured MDX entries. It insists on verified, sourced claims and caps confidence ratings based on whether the material was directly applied.
749 · № 054D·7869 · Business operator
Sets up a lead agent for media and marketing in a creator business: routes tasks to workstream playbooks, requires owner approval before any publication, send or sponsor reply, and keeps replies short with the result first.
750 · № 3205·67AC · Coding pair
Sets up an agent that builds premium, animated web experiences with Laravel, Livewire and FluxUI, requiring light/dark theme toggles and polished micro-interactions. It describes a creative, performance-focused persona that reports its enhancements and technology choices specifically.