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By evgenygurin
Bridge to Codegen AI agent platform — delegate tasks, monitor agents, review output, debug failures, and manage PRs via cloud agents
npx claudepluginhub evgenygurin/codegen-bridge --plugin codegen-bridgeView execution logs for a Codegen agent run
Merge pull requests created by Codegen agent runs
View and manage Codegen plugin settings
Quick overview of active Codegen agent runs
Delegate a task to Codegen cloud agent
Delegates coding tasks to Codegen cloud agents via MCP tools. Creates agent runs, monitors progress, collects results, and reports back with PR links.
Reviews pull requests created by Codegen agents. Fetches run context and logs, analyzes changes, and provides structured review feedback with actionable items.
Monitor running Codegen agents — poll status, review logs, detect blockers, and surface progress. Triggered when codegen_get_run, codegen_get_logs, codegen_list_runs, or codegen_get_execution_context tools are invoked.
Use when batch-delegating multiple independent tasks to Codegen cloud agents in a single call. Uses codegen_bulk_create_runs for parallel execution. Best for plans where tasks have no inter-dependencies.
Automatically delegate tasks to Codegen cloud agents when user requests code changes, implementations, or fixes that should run remotely. Triggered when codegen_create_run or codegen_start_execution tools are invoked. Includes prompt templates and quality checklist.
Use when debugging failed, stuck, or misbehaving Codegen agent runs — systematic 4-phase approach. Triggers on agent run failures, timeouts, or unexpected results. Analogous to superpowers systematic-debugging but for cloud agents.
Use when executing implementation plans via Codegen cloud agents instead of locally. Delegates each task as a separate Codegen agent run, monitors progress, and handles blockers. Drop-in replacement for superpowers:executing-plans — works with the same plan format.
Admin access level
Server config contains admin-level keywords
Requires secrets
Needs API keys or credentials to function
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Harness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
The operational layer for coding agents. Bookkeeping, validation, and flows that compound knowledge between sessions.
Agent orchestration harness for Claude Code — campaign persistence, fleet coordination, intent routing
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
Intelligent orchestration platform for AI coding tools — routes tasks to the best model, learns from outcomes, and enforces quality through multi-model consensus. 42 MCP tools for agent management, research, memory, consensus voting, codebase intelligence, and a full dev pipeline.
Delegate plan execution to Codex CLI via ASP. Part of cc-multi-cli-plugin. Requires the `multi` plugin.
Intelligent project memory management for Claude Code using Mem0. Automatically captures and persists decisions, patterns, and context across sessions.
Risk-first crypto market research — 16 MCP tools (market data, analytics, catalog + observability), 4 resources + 1 URI template, 2 prompts, Supabase-backed cache, realtime cache invalidation, provenance tracking, and auditable reasoning.
Intelligent prompt optimization with R2R semantic search integration. Enriches vague prompts using knowledge base search, codebase analysis, and research-based clarifying questions
Codex-as-Manager autopilot for Claude Code: OpenAI Codex (gpt-5.4/5.5) decomposes goals, reviews diffs, and directs the loop; Claude Code implements. Works with ChatGPT subscription via codex login (no OPENAI_API_KEY required).
DJ techno music library management — 20 MCP dispatchers (6 entity CRUD + 3 provider + 2 compute + sync + 2 admin + 6 UI Prefab Apps) + 27 resources + 6 prompts + 6 handlers. FastMCP v3 bounded-contexts architecture.
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
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AI-agent plugin and skills pack for delegating implementation plans to Codegen cloud agents.
/codegen, /cg-status, /cg-logs, /cg-merge, /cg-settingsexport CODEGEN_API_KEY="your-api-key"
export CODEGEN_ORG_ID="your-org-id"
Install local plugin:
/install-plugin ~/.claude/plugins/codegen-bridge
Install plugin from repository:
/add-plugin https://github.com/evgenygurin/codegen-bridge
Detailed guide: docs/README.cursor.md
Tell Codex:
Fetch and follow instructions from https://raw.githubusercontent.com/evgenygurin/codegen-bridge/main/.codex/INSTALL.md
Detailed guide: docs/README.codex.md
gemini extensions install https://github.com/evgenygurin/codegen-bridge
Update:
gemini extensions update codegen-bridge
Detailed guide: docs/README.gemini.md
Tell OpenCode:
Fetch and follow instructions from https://raw.githubusercontent.com/evgenygurin/codegen-bridge/main/.opencode/INSTALL.md
Detailed guide: docs/README.opencode.md
Start a new agent session and ask for delegation, for example:
delegate this task to codegenshow latest codegen runssummarize run <id>The assistant should use codegen_* tools and codegen-bridge skills.
When writing-plans offers execution options, choose "Codegen Remote" to delegate to cloud agents. The executing-via-codegen skill will:
| Module | Tools | Purpose |
|---|---|---|
agent | create_run, get_run, list_runs, resume_run, stop_run, ban_run, unban_run, remove_from_pr, get_logs, create_and_monitor, monitor_run_background, bulk_create_runs, report_run_result | Agent run lifecycle, monitoring, bulk ops |
execution | start_execution, get_execution_context, get_agent_rules | Multi-task execution plans |
pr | edit_pr, edit_pr_simple | Pull request management |
setup | list_orgs, list_repos, list_users, get_user, get_current_user, get_organization_settings, get_mcp_providers, get_oauth_status, revoke_oauth, get_check_suite_settings, update_check_suite_settings, generate_setup_commands, list_models | Organization, repo, user setup |
integrations | get_integrations, get_webhook_config, set_webhook_config, delete_webhook_config, test_webhook, analyze_sandbox_logs, generate_slack_token, check_integration_health | Webhooks, sandbox, Slack, health |
analytics | get_run_analytics | Run statistics and metrics |
session | set_session_preference, get_session_preferences, clear_session_preferences | Per-session state management |
settings | get_settings, update_settings | Plugin settings management |
sampling | summarise_run, summarise_execution, generate_task_prompt, analyse_run_logs | LLM sampling tools |
Auto-generated tools from the Codegen OpenAPI spec are also available at runtime via the OpenAPI provider.
| Skill | Description |
|---|---|
executing-via-codegen | Orchestrate plan execution task-by-task via cloud agents |
codegen-delegation | Delegate individual tasks to Codegen agents |
agent-monitoring | Monitor and track agent run progress |
pr-management | Manage pull requests created by agents |
| Agent | Description |
|---|---|
codegen-delegator | Orchestrates multi-task plan execution via cloud agents |
pr-reviewer | Reviews and manages pull requests from agent runs |
Hooks live in the root hooks/ directory and run automatically:
codegen_create_run, auto-formats status after codegen_get_run