Skip to content
FunCoding

Search

Search docs, Skills and MCP

hive.note-taking

Maintain a free-form scratchpad of decisions, extracted values, and open questions so context pruning doesn't lose anything you still need.

AI 与智能体11kcore/framework/skills/_default_skills/note-taking/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/aden-hive/hive/note-taking/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

Operational Protocol: Structured Note-Taking

Maintain free-form working notes in shared buffer key _working_notes for data that you need to remember but that isn't captured by the colony task queue.

Do not duplicate the queue in here. Per-task goal, ordered steps, and SOP gates live in progress.db — use hive.colony-progress-tracker for those. These notes are for things the DB schema doesn't cover.

Update at these checkpoints:

  • After receiving new information that changes how you plan to approach the current step
  • Before any tool call that will produce substantial output you'll need to reference later
  • When you make a non-obvious decision whose why would be lost if the tool call history gets pruned

Structure:

Key Decisions — decisions made and WHY

Working Data — intermediate results, extracted values (URLs, IDs, key snippets — not full pages)

Open Questions — uncertainties you plan to verify

Blockers — anything preventing progress that isn't already captured in tasks.last_error

Update incrementally — do not rewrite from scratch each time.

Similar Skills

template-skill
anthropics/skills180k

template-skill

Replace with description of the skill and when Claude should use it.

AI & agents

brand-guidelines
anthropics/skills180k

brand-guidelines

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

AI & agents

internal-comms
anthropics/skills180k

internal-comms

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

AI & agents

mcp-builder
anthropics/skills180k

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

AI & agents

algorithmic-art
anthropics/skills180k

algorithmic-art

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

AI & agents

academy-guide
anthropics/skills180k

academy-guide

Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.

AI & agents