jeremy-adk-software-engineer

23-agent engineering + product team with 125 skills for Claude Code

49 skills · 100 agents · hooks

Multi-agent orchestration system with 51 specialized agents for development workflows, code quality, deployment, research, games, and more. Includes orchestrators for checkpoint, deploy, quality, fullstack, research, games, corpus, web, and python workflows.

51 agents

Point it at a GitHub issue and get back a reviewed pull request. Hyperflow turns one AI coding session into a structured engineering pipeline: plan sharpens and decomposes the work, dispatch fans out parallel workers, and a domain specialist reviews every step — nothing ships unreviewed. 18 skills, 22 specialist reviewer and investigator agents, adaptive depth so a 5-line fix never triggers a deep run, and persistent per-project memory that lives in your repo and never leaves it. Runs on whatever model your session already uses — zero config, no API keys, no daemon. Works across Claude Code, Codex App/CLI, OpenCode, Grok, Antigravity, and Cursor.

18 skills · 23 agents · hooks

Claude Code skill pack for Shopify (38 skills covering e-commerce development, storefront APIs, and app integration)

38 skills

LangChain 1.0 + LangGraph 1.0 skill pack for Python. Pain-first skills anchored to a 68-entry pain catalog covering content blocks, streaming token accounting, structured-output, vector stores, checkpointing, HITL, middleware, Deep Agents, and native OTEL. Includes 33 skills across four epics.

33 skills

Claude Code skill pack for building with the Claude API and Anthropic SDK.

32 skills

Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.

10 skills · 2 commands · 3 agents

Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).

6 skills · 8 commands · 4 agents · hooks

AI and ML capabilities: ai-multimodal (Gemini API with image/video/audio processing), google-adk-python (Agent Development Kit), context-engineering (agent context optimization and memory systems)

Twelve ICSE-specific skills for software-engineering conference strategy, grounded in the official ICSE 2027 Research Track call for papers, important dates, artifact-evaluation track, and ICSE 2026 cycle records.

12 skills

Run Specification, Pseudocode, Architecture, Refinement, and Completion as a deterministic, resumable workflow with immutable evidence and traceable phase gates.

3 skills · 1 MCP server

Software engineer agent for a Bitwarden product team. Implements stories, tasks, and bugs in the team's domain with code quality, performance, and security in mind. Participates in refinement, reviews PRs, collaborates with QA, and follows Git conventions.

1 agent