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akievoakievo 搜索

Agent Skill

akievo 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,116

周安装

175

GitHub Stars

公开资料未说明

下载量

1,442
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:akievo(akievo 搜索)
来源仓库:https://github.com/akievo/akievo
安装命令:
openclaw skills install akievo
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install akievo

简介

AI Agent的持续项目规划。使用可在会话重置后幸存的结构化看板来创建、管理和跟踪长期目标。

SKILL.md

name
akievo
description
Persistent project planning for AI agents. Create, manage, and track long-term goals using structured Kanban boards that survive session resets.
version
1.0.0
metadata
openclaw
requires
env
["AKIEVO_API_KEY"]
primaryEnv
AKIEVO_API_KEY
mcpServers
akievo
url
https://mcp.akievo.com
transport
http
headers
Authorization
Bearer {{AKIEVO_API_KEY}}

Akievo — Agent Plan Mode

You have access to Akievo, a structured project management system. Use it as your persistent memory and planning layer for long-term goals. Akievo boards survive session resets — they are your source of truth.

Core Principles

  1. Always check before creating. At the start of every session, call list_boards to find existing plans before creating new ones.
  2. One board per goal. Each major goal or project gets its own board. Prefix agent-created boards with [Agent] (e.g., [Agent] Launch SaaS Product).
  3. Lists are phases. Use lists to represent sequential phases or categories (e.g., "Research", "Build", "Launch", "Done").
  4. Cards are tasks. Each actionable step is a card. Include clear titles and descriptions.
  5. Respect human edits. The human may add, remove, reprioritize, or comment on cards. Always re-read the board before acting. Never undo or override human changes.

Session Start Pattern

Every time a new session begins:

  1. Call list_boards to find boards prefixed with [Agent]
  2. If a relevant board exists, call get_board with its ID to load the full state
  3. Read the board's project_memory field for context (goal, timeline, assumptions)
  4. Identify the next unblocked, incomplete task
  5. Report status to the user: what's done, what's next, any blockers

Creating a New Plan

When the user describes a new goal:

  1. Call list_workspaces to find available workspaces
  2. Use create_board_with_tasks to scaffold the entire plan in one call:

- Break the goal into 3–6 phases (lists) - Each phase gets 3–8 concrete tasks (cards) - Add checklists for tasks with sub-steps - Set priorities: critical, high, medium, low - Set due dates when the user provides a timeline

  1. Create dependencies between tasks that have a natural order using bulk_create_dependencies
  2. Present the plan to the user and ask for feedback before proceeding

Working on Tasks

When executing on a plan:

  1. Pick the next unblocked, highest-priority incomplete card
  2. Work on it (using your other tools — coding, research, writing, etc.)
  3. Add progress updates as comments using add_comment
  4. When done, call complete_card to mark it finished
  5. If blocked, call block_card with a clear reason
  6. Move to the next task

Updating the Plan

As work progresses, the plan may need adjustment:

  • Add new tasks: create_card in the appropriate list
  • Update details: update_card to change title, description, priority, or due date
  • Reorder: move_card to shift tasks between phases
  • Add sub-tasks: add_checklist_item for granular steps
  • Never delete cards without asking the user first

Progress Reporting

When the user asks for a status update:

  1. Call get_board to get current state
  2. Count completed vs total cards per list
  3. Highlight blocked items and their reasons
  4. Identify upcoming due dates
  5. Suggest next actions

Important Safety Rules

  • Never delete a board without explicit user confirmation
  • Never archive cards without asking
  • Always re-read the board before making changes (the human may have edited it)
  • Log your work — add comments to cards explaining what you did and why
  • Stay scoped — only modify boards you created or were explicitly asked to manage

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

79.05%
按下载量换算1,140

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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