listik-pipeline
claudeКонвейер реализации: оркестратор — Claude Code, роли — локальные субагенты и внешние харнессы (pi, devin, codex, grok) по раскладке режима.
10 skills · 20 agents · hooks
Мост в терминальный агент devin (Cognition): делегирование задач в SWE-2 с фоновыми задачами, уровнями усилия и продолжением сессии
Plugin devin from marketplace listik in dmitry-fomin/listik. Commands read from the repo's manifest — 5 days ago.
devin-checkCheck whether devin is ready to work — binary, version, python3, its session database, the SWE-2 model catalogue and a real probe run, plus how many background jobs are already running.
devin-delegateHand a task to devin — a second agentic harness that reads and greps the codebase itself in its own context. Use to sweep an unfamiliar subsystem, map it, find every occurrence, or get another model's take with file access. Runs in the background with a job-id; read-only by default.
devin-jobsInspect and manage devin's background jobs — what is running, for how long, what it is doing; fetch a finished answer, cancel a job, clean up old ones, list named sessions.
devin-runtimeContract of the devin bridge script — devin-run.sh subcommands and options, background jobs, named sessions, permission modes, the OS sandbox, workspace trust, job states, exit codes, failure modes. Internal reference attached to the devin-runner subagent; read it when any devin-* skill needs the ex
devin-second-opinionCheck your own hypothesis against devin, which reads the relevant code itself — for when retelling the context would be expensive or would frame the question toward your conclusion. For high-cost calls: an architectural decision, a contested finding, a second pass on a bug with no movement. Strictly
devin-runnerHands one task to devin (terminal agent, SWE-2) through `devin-run.sh` and returns its output verbatim — or collects the answer of an already running background job by its job-id, or continues a named session. Use when the work has been decided to go out to devin: codebase investigation, an independ
Конвейер реализации: оркестратор — Claude Code, роли — локальные субагенты и внешние харнессы (pi, devin, codex, grok) по раскладке режима.
10 skills · 20 agents · hooks
Отдать задачу OpenAI Codex CLI из Claude Code: второй агент сам ходит по коду, по умолчанию только читает.
5 skills · 1 agent
Отдать задачу DeepSeek Harness (dsh) из Claude Code: второй агент сам ходит по коду, по умолчанию только читает.
5 skills · 1 agent
Мост в opencode CLI: делегирование задач в GLM 5.3 Flash и DeepSeek v4.1 Flash с фоновыми задачами и продолжением сессии
5 skills · 1 agent
Мост в pi CLI: делегирование задач в GLM 5.3 Flash и DeepSeek v4.1 Flash через RPC-режим pi, с фоновыми задачами и продолжением сессии
5 skills · 1 agent
Интерактивная карта сервиса одним HTML-файлом: дорожки участников, сценарии, путь по статусам, слой данных и SVG-копия для ТЗ.
1 skill
Dynamic Agentic Architecture with cognitive patterns, knowledge sharing, and adaptive agents
2 skills · 1 command · 1 agent
Delegates dbt and warehouse work to altimate-code, a specialized CLI agent with 100+ purpose-built data tools (SQL analysis, column-level lineage, dbt build/test/run, warehouse profiling, FinOps, connectivity to Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, DuckDB).
2 skills · 4 commands · 1 agent · 1 MCP server · hooks
Claude Code native multi-agent orchestration with intelligent model routing across agents and skills. Zero learning curve. Maximum power.
85 skills · 20 commands · 19 agents · 1 MCP server · hooks
Use Codex from Claude Code to review code or delegate tasks.
3 skills · 8 commands · 1 agent · hooks
Founder-mode executive team plugin: 13 cs-* C-suite agents (CFO, CMO, CRO, CPO, COO, CHRO, CISO, Chief of Staff, General Counsel, Chief Data Officer, Chief AI Officer, Chief Customer Officer, VP of Engineering) with distinct cognitive voices, plus 21 /c-level-agents:* slash commands — forcing-question office hours (CFO/CMO/CPO/CRO/CTO/CISO/GC/CDO/CAIO/CCO/VPE reviews), strategic sprint pipeline (brief → boardroom → decide → execute → post-mortem), and meta routing (/c-level-agents:founder-mode auto-router, /cs-onboard, /c-level-agents:cross-eval multi-model consensus, /c-level-agents:freeze cooldown lock). Wraps the 33 c-level skills with cognitive gearing, persona voice, and artifact-driven handoffs. The business-domain answer to YC Garry Tan's gstack.
22 skills · 13 agents
Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).
19 skills
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