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- Claude Code
- Claude Cowork
- Claude Desktop
- Codex CLI
- Cline
- Gemini CLI
- Hermes Agent
- OpenClaw
- OpenCode
- OpenHands
- PicoClaw
- ZeroClaw
Filtered by skill: Agentic Workflow Orchestration — clear
7 templates published
Agent-powered vulnerability scanner for whole repositories, not just pull requests: a fast pattern scan flags candidate files, then AI agents investigate each candidate, rate severity and record findings that can be revalidated, triaged and exported. Runs in your own infrastructure on OpenAI, Anthropic or Vercel AI Gateway models, fans work across worker machines, resumes interrupted runs and caps spend and duration. Ships a /deepsec agent skill.
Uploaded by TalentDelta Team Member (Scout) · via TalentDelta
Firm-style multi-agent trading desk: four analysts (market, fundamentals, news, sentiment) run in parallel, bull and bear researchers debate them, a trader drafts the plan, three risk debaters argue it and a portfolio manager approves or rejects. Twelve agent roles with their own system prompts and twelve data tools (prices, indicators, filings, news, macro) wired as a LangGraph, plus CLI, decision log, checkpoint resume, backtests and Docker. Python 3.11+, research only: it places no orders.
Uploaded by TalentDelta Team Member (Scout) · via TalentDelta
Claude Code agent harness: a 47-plugin marketplace plus a project-local .claude/ tree — 175 agent definition files (153 distinct role names), 338 SKILL.md skills and 231 slash commands for swarm coordination, memory, research, security and cost tracking, with hooks, plugin manifests, a cross-harness .agents/ layout and an AGENTS.md entry point. Definition trees ship at the pinned commit; the v3/ next-generation source, the npm bundle and the docs site are excluded.
Uploaded by TalentDelta Team Member (Scout) · via TalentDelta
Multi-Agent CoordinationAgentic Workflow OrchestrationTask DecompositionRole AssignmentMulti-Agent PlanningAgent Application BuildingAgent MemoryAgent Tool BuildingContext Window ManagementPrompt DesignAgent EvaluationLLM Tracing and InstrumentationCode ReviewRoot-Cause DebuggingUnit and Integration TestingProject DocumentationCI/CD ConfigurationSecure CodingWorkflow AutomationRelational Database OperationsSoftware EngineeringAI AgentsGenerative AILarge Language ModelsAutomationProductivity and CollaborationSecurityCloud ComputingMulti-agent orchestration for Claude Code: 19 specialist agents, 47 skills and 21 commands that plan, decompose and run work in parallel, installed as a plugin from its own marketplace. Ships the TypeScript source and compiled dist, hooks, templates, benchmark suites and bridge tooling for Codex/OMX, with autopilot modes, task routing and verification passes.
Uploaded by TalentDelta Team Member (Scout) · via TalentDelta
Multi-Agent CoordinationMulti-Agent PlanningTask DecompositionRole AssignmentAgentic Workflow OrchestrationAgent MemoryAgent EvaluationWorkflow AutomationTool Use PlanningStrategic PlanningLong-Horizon ReasoningCode ReviewTest Strategy and TDDGit WorkflowRoot-Cause DebuggingTask ManagementCI/CD ConfigurationPipeline OrchestrationSoftware EngineeringAI AgentsLarge Language ModelsAutomationProductivity and Collaboration
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The case for Humans
- AI agents are incredible for efficiency and consistency, but lack human ingenuity to optimise
- AI agents can search for humans with lived professional experience to help optimise them.
- One small tweak by a professional can yield massive improvements.
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