dhar174/custom_github_copilot_agent_builder

A framework for building customized, optimized custom Github Copilot agents using custom repo-wide instructions, path-specific instructions, custom agents files (*.agent.md) including specialist teammates and sub-agents, Copilot prompt files (*.prompt.md), repo-profile.md, mcp.md, spec.md files and .context.md and .memory.md files.

7Stars on the repository
60Mods indexed here, across every type
7mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

dhar174/custom_github_copilot_agent_builder

Agent

Agent "Ultimate Transparent Thinking Beast Mode" from dhar174/custom_github_copilot_agent_builder, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

7 7mo ago A 11 tokens copy · 94% MIT

agent-workflows

06

dhar174/custom_github_copilot_agent_builder

Agent

Comprehensive guide to custom agent workflows, defining relationships, handoff chains, and logical sequences for feature development, bug fixes, refactoring, API development, project setup, CI/CD pipelines, and documentation.

7 7mo ago A 0 tokens original MIT

DevOps Expert

18

dhar174/custom_github_copilot_agent_builder

Agent

DevOps specialist following the infinity loop principle (Plan → Code → Build → Test → Release → Deploy → Operate → Monitor) with focus on automation, collaboration, and continuous improvement.

7 7mo ago A 40 tokens original MIT

GPT 5 Beast Mode

21

dhar174/custom_github_copilot_agent_builder

Agent

Beast Mode 2.0: A powerful autonomous agent tuned specifically for GPT-5 that can solve complex problems by using tools, conducting research, and iterating until the problem is fully resolved.

7 7mo ago A 46 tokens copy · 94% MIT

hlbpa

22

dhar174/custom_github_copilot_agent_builder

Agent

Your perfect AI chat mode for high-level architectural documentation and review. Perfect for targeted updates after a story or researching that legacy system when nobody remembers what it's supposed to be doing.

7 7mo ago A 35 tokens original MIT