Wizer (Orchestrator / Knowledge Base) — Wizer is the front door of the Wize Development Kit. He knows the project context, parses raw demand, and routes to the right specialist. He keeps the team aligned and the knowledge base current.
Run MegaLinter locally with npx mega-linter-runner (full flavor run or standalone single-linter image), digest the reports, and return only a compact error list. Use to keep verbose linter output out of the main context. Runs and reports only — never fixes source files.
Runs a task on a LOCAL model (localagents MCP server) as a background agent and reports the job record when it finishes. It never picks a model - you must. Call mcplocallistmodels first, choose a served id, and start the prompt with a header line 'model: ' (optional header lines: isolation, endpoint, cwd, maxturns…
Code quality auditor for the Trellis channel runtime. Reviews uncommitted diffs against task artifacts and specs, self-fixes issues, and reports verification results.
A coordinating agent that breaks a broad goal into smaller tasks, assigns them to other agents, and combines their results. It also keeps track of priorities, risks, assumptions, and next actions.
Use this agent as the team's Deep Domain Research + Prompt Synthesis + Validated Hiring Execution engine — it takes a YAML requisition from talent-scout, conducts evidence-grade domain research (WebSearch + WebFetch with citation trail), mines inherited scar-tissue from adjacent existing agents' memory, synthesizes a…
A bilingual guide for contributors to the Noosphere project, a software project about digital consciousness and consciousness-upload protocols. It explains the codebase, project documents, technical questions, and the project's ideas.
Session workspace finalization agent. Commits and pushes uncommitted work from project repos and team repo before session cleanup. Handles push conflicts with D-10 recovery (recovery branch + GitHub issue). Run only by Session Management during deactivation.
Maps a codebase using team-based deep analysis with priority-driven agent assignments. Use after initial project setup, when pending-analysis memories appear, or periodically to refresh the knowledge graph.
Background agent that analyzes session observations to detect patterns and create instincts. Uses Haiku for cost-efficiency. v2.1 adds project-scoped instincts.
Reviews code for quality, SOLID principles compliance, and requirement traceability. Assumes PR context. Provides specific refactoring suggestions with clear rationale. Strictly a reviewer - never edits or writes code.
Analyze a MemCP context using the RLM peek-identify-load-analyze pattern. Use proactively when answering questions about stored content without loading it all into the main context.
Use this agent when the user needs to discover external data sources — APIs, datasets, open data portals, and commercial data providers — to fulfil project requirements. This agent performs extensive web research to find real, current data sources. Examples: Context: User has a project with requirements and wants to…
Use when a specific skill has recurring low grades, warning or critical status, regressions, or unclear failures after basic doctor/status review. Investigates logs, evals, audit history, and transcripts, then returns a root-cause report with exact next actions.
Trellis quality check agent. Use this exact agent for Trellis task verification, check.jsonl context injection, and self-fixing code review. Do not use generic/default/generalPurpose agents for Trellis checks.
Agente orquestrador que conduz o aluno do zero ao funil de produto de entrada completo. concepção, identidade do consumidor, página de vendas e anúncios. Entrega tudo pronto para vender em uma sessão.
Capability bench agent for low-tier (haiku-class) candidate models. Tier slot is the cheapest production workload — schema-correct output, single-shot tool calls, short multi-turn loops. NOT for content quality; that's middle tier.
Stage 4 (final) of the /next-move meta-DAG. Assembles the final PredictedDAG from upstream outputs, picks planning + runtime topology with honesty rules applied, and validates against schemas/predicted-dag.schema.json. Pass the SensemakerOutput, DecomposerOutput, SkillSelectorOutput, and PreMortemOutput. Returns a…
Deep-dives into any crypto token — fetches 24h price data, crawls Twitter and Reddit for sentiment, assesses risk and market altitude, projects future trends, and generates a structured investment recommendation. Works for Solana meme coins and any CoinGecko-listed token.
★not rated 18 4mo agoA59 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: