Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously.
| Date | Stars |
|---|---|
| 2026-07-31 | 274 |
| 2026-08-05 | 277 |
| 2026-08-13 | 312 |
| 2026-08-18 | 313 |
| 2026-08-24 | 314 |
| 2026-08-25 | 315 |
| 2026-08-29 | 316 |
| 2026-09-01 | 316 |
| 2026-09-12 | 318 |
| 2026-09-20 | 318 |
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# armory [](LICENSE) [](manifest.yaml) [](skills/) [](https://github.com/Mathews-Tom/armory/stargazers) [](https://mathews-tom.github.io/armory/) Curated, production-grade skills, agents, hooks, rules, commands, utilities, and presets for AI coding agents. No magic, no demos — battle-tested workflows built for developers who use AI seriously. --- ## Overview `armory` is a collection of packages for [Claude Code](https://claude.ai/code) and Claude.ai. Each package is a self-contained prompt or automation unit that extends Claude with a repeatable, opinionated workflow for a specific task domain. Packages span seven types: skills, agents, hooks, rules, commands, utilities, and presets. **Philosophy:** Packages in this collection are practical and context-free. They define the _how_, not just the _what_ — covering inputs, outputs, edge cases, and failure modes. They are tested in real workloads, not constructed as examples. Intended for developers who treat AI coding agents as a serious part of their workflow. ## Planning Lifecycle Use the planning packages in sequence, not as interchangeable formats: ```text unknown destination → decision-map → known design → plan-prompts → task-decomposer / plan-review → milestone-runner → stacked-prs ``` | Situation | Package | Output | |---|---|---| | Destination or design is unresolved | [decision-map](skills/decision-map/) | Tracker-backed decision map, frontier, and recorded decisions | | Design is known and needs milestones | [plan-prompts](skills/plan-prompts/) | `DEVELOPMENT_PLAN.md` and `EXECUTION_PROMPTS.md` | | Feature is specified and needs implementation slices | [task-decomposer](skills/task-decomposer/) | Phased task board with dependencies and test matrix | | Existing plan needs a pre-implementation challenge | [plan-review](skills/plan-review/) | Severity-ranked plan review | | Approved plan needs execution across sessions | [milestone-runner](skills/milestone-runner/) | Reviewed, merged milestone PR stack | `decision-map` stops at resolved decisions. It recommends `plan-prompts` after a complete map and never creates implementation milestones or tasks. --- ## Package Catalog ### Agents — Orchestrators Orchestrator agents compose skills and other agents into multi-phase workflows. Each can run solo or be spawned by another agent via the Agent tool. | Agent | Model | Description | | ------------------------------------------------ | ------ | --------------------------------------------------------------------------------------------------------------- | | [team-lead](agents/team-lead/) | opus | Meta-orchestrator — decomposes multi-domain requests, delegates to specialized agents, synthesizes results | | [codebase-auditor](agents/codebase-auditor/) | sonnet | Unified quality assessment — spawns code-reviewer, security-reviewer, secret-scanner in parallel, merges report | | [project-architect](agents/project-architect/) | opus | Phased requirements discovery producing architecture documents with diagrams and tech stack justification | | [project-planner](agents/project-planner/) | sonnet | Task decomposition with dependency mapping, three-point estimates, milestone timelines, and risk logs | | [research-analyst](agents/research-analyst/) | opus | Multi-source investigation with parallel agents across web, academic, video, and competitive sources | | [idea-scout](agents/idea-scout/)
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1f0a3e6812c4086c, topic:ai-agents