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Updated today

by AgentEra

Agently-Skills

Agently AI application development framework's official collection of agent skills

  • Active — Updated in the last 14 days
View on GitHub (opens in a new tab)

32 GitHub stars (32)

+6 in 30 days

Stars gained per day · daily snapshots since Sep 30
Stars gained per day, Sep 30 to Nov 6: +6 in total; the busiest day was Oct 17 with +2 stars.Oct 1: 0 starsOct 2: 0 starsOct 3: 0 starsOct 4: 0 starsOct 5: 0 starsOct 6: 0 starsOct 7: 0 starsOct 8: 0 starsOct 9: 0 starsOct 10: 0 starsOct 11: 0 starsOct 12: 0 starsOct 13: +1 starsOct 14: 0 starsOct 15: 0 starsOct 16: 0 starsOct 17: +2 starsOct 18: 0 starsOct 19: 0 starsOct 20: 0 starsOct 21: 0 starsOct 22: +1 starsOct 23: 0 starsOct 24: 0 starsOct 25: 0 starsOct 26: +1 starsOct 27: 0 starsOct 28: 0 starsOct 29: 0 starsOct 30: 0 starsOct 31: 0 starsNov 1: 0 starsNov 2: +1 starsNov 3: 0 starsNov 4: 0 starsNov 5: 0 starsNov 6: 0 stars
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  • 11 skills (11 skills found in its SKILL.md files)
  • 3 forks (3 forks)
  • Today last update (Last updated today)

Install

Skills CLI

npx skills add AgentEra/Agently-Skills

Asks which skills and agents to install. Just one: npx skills add AgentEra/Agently-Skills --skill agently-agentic-design — add -g for every project.

Claude Code

git clone https://github.com/AgentEra/Agently-Skillscp -r "Agently-Skills/skills/agently-agentic-design" ~/.claude/skills/

Copies the agently-agentic-design skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add AgentEra/Agently-Skills

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • agently-agentic-design

    Use to design, understand, tune, or audit a non-trivial model workflow, including framework-undecided designs, partial implementations, and production reviews: model-node responsibilities, input/output completeness, data-flow correctness or redundancy, model-versus-Host/workflow ownership, topology, evidence, lifecycle, concurrency, or observed execution effects. The user need not say Prompt revi…

    skills/agently-agentic-design/SKILL.md on GitHub (opens in a new tab)
  • agently-collaboration

    Use for coding-agent conversation communication across any project or task: explain the current task and outcome, report progress, maintain the complete plan, present decisions or blockers, and resume or hand off long work. Applies alongside coding, design, research and writing skills without requiring Agently. Brief factual answers stay brief; application runtime progress and deliverable design…

    skills/agently-collaboration/SKILL.md on GitHub (opens in a new tab)
  • agently-design

    Deprecated compatibility entry for callers that explicitly name the former agently-design skill. Continue Agentic system design with agently-agentic-design; human product, interface and document design uses agently-product-design.

    skills/agently-design/SKILL.md on GitHub (opens in a new tab)
  • agently-migration

    Use when migrating an existing LangChain, LangGraph, LlamaIndex, or CrewAI system into Agently and mapping each source behavior to its actual request, runtime, context/storage, or TriggerFlow owner.

    skills/agently-migration/SKILL.md on GitHub (opens in a new tab)
  • agently-product-design

    从真实需求场景出发设计应用和方案,按角色走查交互、视觉或文档阅读体验,并用同一 checklist 修订复验。用于方案比较或重设计、项目交互规范与公共组件、界面优化、文稿起草重构、读者逻辑检查、STE 写作及画板表达;统一执行共同方法,按需读取方案设计、角色行为覆盖、应用体验、文档表达模块。普通代码修错、纯后端诊断、简单纠错、文学创作或纯插画不单独触发。

    skills/agently-product-design/SKILL.md on GitHub (opens in a new tab)
  • agently-request

    Use for Agently request-side setup and contracts: model settings, Prompt/input/output design, effect tuning, missing or redundant context, structured output, LongContent, auto_continue, response reuse, streaming, TTS/STT audio, session memory, embeddings, and retrieval within one request family. Use agently-agentic-design for cross-node data flow and model/Host ownership.

    skills/agently-request/SKILL.md on GitHub (opens in a new tab)
  • agently-runtime

    Use for Agently runtime extensions: AgentExecution plugins and final review/artifact policies, Actions and MCP, Shell/BashExecutor and PowerShell permissions, ExecutionResource lifecycle, TaskWorkspace, RecordStore, auto_func and KeyWaiter, FastAPIHelper, or optional DevTools observation.

    skills/agently-runtime/SKILL.md on GitHub (opens in a new tab)
  • agently-stage

    Use for Agently-Stage process-local task lifetime and sync/async interop: Stage scopes and handles, settlement/cancellation, StageCallBridge and StageStream, Tunnel replay channels, or local EventEmitter listeners. Choose this even inside TriggerFlow when a provider-owned sync wrapper bridges an async SDK; use TriggerFlow for application workflow orchestration or persistence.

    skills/agently-stage/SKILL.md on GitHub (opens in a new tab)
  • agently-triggerflow

    Use when developer-owned execution needs inspectable branching, concurrency, joins, waits, approval, retry, runtime streams, pause/resume, recovery, or mixed sync/async orchestration. Use agently-stage instead when a provider-owned sync wrapper only bridges an async SDK.

    skills/agently-triggerflow/SKILL.md on GitHub (opens in a new tab)
  • agently

    Route ambiguous product, document, or Agentic work to the right design or implementation skill. Use for unresolved owner/project shape, mixed specialties or explicit low-frequency TaskDAG or DynamicTask requests. Clear tasks use their specialist directly; conversation expression, progress and handoffs use agently-collaboration alongside any task.

    skills/agently/SKILL.md on GitHub (opens in a new tab)
  • analysis-writing

    Use when a business metric comparison must be written from structured evidence with explicit evidence references and limitations.

    skills/agently/assets/full-stack-reference/skills/local/analysis-writing/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.