Chalk Labs
Need help deploying personnel-insight?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sddzlsc-personnel-insight
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/personnel-insight
What's inside
- Skill name
personnel-insight- Description
- 从角色动机、能力、可信度三维评估关键人物与合作方。
- License
- MIT
- Instructions
- 32 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 识人用人 用于“成事关键在人”的任务场景:招聘、合作、组织调整、客户关系。 ## 案例锚点 - **刘邦集团用人**:目标导向下的多元人才协同(将将、治政、后勤分工)。 - **诸葛亮北伐的人事张力**:理想目标与组织承载力之间的用人边界。 ## 角色评估四维 - 动机:他真正追求什么 - 能力:他稳定能交付什么 - 信誉:历史行为是否可信 - 约束:结构性不能做什么 ## 角色分层与策略 - 核心:高动机+高能力+高信誉 -> 授权关键任务 - 可用:两项强、一项弱 -> 明确边界后使用 - 观望:信息不足或波动大 -> 小任务试探 - 规避:高风险低可控 -> 仅保底协作或退出 ## 输出模板 - 关键角色清单: - 四维评分(1-5): - 分层结果: - 用人/合作策略: - 预警信号:
From sddzlsc/zizhitongjian-skill, MIT.
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SkillDFreshness: D★ 14Claude Code +9 - 0.473score
workflows
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将多个 zztj 方法技能按固定次序编排成可复用流程,用于增长、治理与复盘三类高频任务。
SkillDFreshness: D★ 14Claude Code +9 - 0.470score
lessons-ledger
sddzlsc
任务结束后复盘“得失因果”,形成可复用决策模板。
SkillDFreshness: D★ 14Claude Code +9 - 0.470score
situational-judgment
sddzlsc
识别阶段与主线矛盾,判断“当下最关键的一仗”。
SkillDFreshness: D★ 14Claude Code +9 - 0.470score
strategic-patience
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用阶段性里程碑替代一次性大跃进,持续积小胜为大胜。
SkillDFreshness: D★ 14Claude Code +9 - 0.470score
risk-foresight
sddzlsc
预判高概率高损失风险,准备监控信号与应急预案。
SkillDFreshness: D★ 14Claude Code +9 - 0.470score
governance-balance
sddzlsc
在增长、现金流、交付质量之间做动态平衡,避免单点最优。
SkillDFreshness: D★ 14Claude Code +9
Signals
- Stars
- 14
- Forks
- 1
- Open issues
- 1
- Last commit (this folder)
- Apr 8, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/sddzlsc/zizhitongjian-skill
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from sddzlsc
- 0.473score
arming-chronicle
sddzlsc
顶层会话入口:先核实事实,再基于任务特征选择资治通鉴方法技能。仅在有明确价值时调度下游技能。
SkillDFreshness: D★ 14Claude Code +9 - 0.473score
workflows
sddzlsc
将多个 zztj 方法技能按固定次序编排成可复用流程,用于增长、治理与复盘三类高频任务。
SkillDFreshness: D★ 14Claude Code +9 - 0.470score
lessons-ledger
sddzlsc
任务结束后复盘“得失因果”,形成可复用决策模板。
SkillDFreshness: D★ 14Claude Code +9 - 0.470score
situational-judgment
sddzlsc
识别阶段与主线矛盾,判断“当下最关键的一仗”。
SkillDFreshness: D★ 14Claude Code +9 - 0.470score
strategic-patience
sddzlsc
用阶段性里程碑替代一次性大跃进,持续积小胜为大胜。
SkillDFreshness: D★ 14Claude Code +9 - 0.470score
risk-foresight
sddzlsc
预判高概率高损失风险,准备监控信号与应急预案。
SkillDFreshness: D★ 14Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get personnel-insight running in your business
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Cite this page
personnel-insight skill. Agent Mart. https://agentmart.dev/skills/sddzlsc-personnel-insight (last updated 2026-10-24)