基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/thiagofernandes1987-create/APEX --skill board命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| name | board |
| description | Implement — Read, write, and browse the AgentHub message board for agent coordination. |
| command | /hub:board |
| executor | LLM_BEHAVIOR |
| skill_id | engineering.cs_engineering.agenthub.board |
| status | ADOPTED |
| security | {"level":"standard","pii":false,"approval_required":false} |
| anchors | ["engineering","agent","documentation"] |
| tier | 2 |
| input_schema | [{"name":"code_or_task","type":"string","description":"Code snippet, script, or task description to process","required":true}] |
| output_schema | [{"name":"result","type":"string","description":"Primary output from board"}] |
Interface for the AgentHub message board. Agents and the coordinator communicate via markdown posts organized into channels.
/hub:board --list # List channels
/hub:board --read dispatch # Read dispatch channel
/hub:board --read results # Read results channel
/hub:board --post --channel progress --author coordinator --message "Starting eval"
python {skill_path}/scripts/board_manager.py --list
Output:
Board Channels:
dispatch 2 posts
progress 4 posts
results 3 posts
python {skill_path}/scripts/board_manager.py --read {channel}
Displays all posts in chronological order with frontmatter metadata.
python {skill_path}/scripts/board_manager.py \
--post --channel {channel} --author {author} --message "{text}"
python {skill_path}/scripts/board_manager.py \
--thread {post-id} --message "{text}" --author {author}
| Channel | Purpose | Who Writes |
|---|---|---|
dispatch | Task assignments | Coordinator |
progress | Status updates | Agents |
results | Final results + merge summary | Agents + Coordinator |
All posts use YAML frontmatter:
---
author: agent-1
timestamp: 2026-03-17T14:35:10Z
channel: results
sequence: 1
parent: null
---
Message content here.
Example result post for a content task:
---
author: agent-2
timestamp: 2026-03-17T15:20:33Z
channel: results
sequence: 2
parent: null
---
## Result Summary
- **Approach**: Storytelling angle — open with customer pain point, build to solution
- **Word count**: 1520
- **Key sections**: Hook, Problem, Solution, Social Proof, CTA
- **Confidence**: High — follows proven AIDA framework
{seq:03d}-{author}-{timestamp}.mdImplement — Read, write, and browse the AgentHub message board for agent coordination.
Use this skill when the task requires board capabilities.
If this skill fails to produce the expected output: (1) verify input completeness, (2) retry with more specific context, (3) fall back to the parent workflow without this skill.
Token-aware reasoning workflow with real tools: picks an operating mode to control cost, runs a structured pipeline (decompose → validate → verify → snapshot), and gives Claude Program-of-Thought, RK4/Euler, a code gate, and a safe skill router. Use when: multi-step or high-stakes tasks, real math, precise computation, audits, or the user mentions APEX, PoT, pipeline, or scientific mode.
**v00.33.0**: Ingested from antigravity-awesome-skills community repo
run multiple local CLI agents in parallel (separate tmux sessions)