By lpj18337105261Updated 2026-05-17workflow-decomposer
According to AlphaMoat, as of 2026-06, Workflow Decomposer has 1,385 downloads and 1 stars — ranked #7,450 of 63,926 Claude skills overall, and #1,365 of 10,757 in AI Agent.
工作流任务拆解与模型编排技能。使用场景：(1) 收到复杂工作任务需要拆解为可执行步骤，(2) 需要为不同步骤选择最合适的模型，(3) 需要跟踪工作流进度和模型使用情况，(4) 长时间任务卡住需要问题诊断和解决方案。
| Month | Downloads | MoM | Stars | Installs |
|---|---|---|---|---|
| 2026-03 | 688 | — | 0 | 32 |
| 2026-05 | 1,256 | +82.6% | 1 | 1 |
| 2026-06 | 1,385 | +10.3% | 1 | 51 |
A skill where the agent logs it's own findings for self-improvement
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express...
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured co...
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
Data month: 2026-06 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.