MCPInstall

k2f-policy-document

Draft employee- and organization-facing policy documents—handbook sections, HR rules, conduct, benefits summaries, and compliance procedures—from user source material, outlines, or legacy policy text. Use when the user asks for a policy document, employee handbook section, HR policy, workplace rule write-up, or formal policy refresh. Create policy documents with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/suzheng/k2f --skill k2f-policy-document
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads k2f-policy-document automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

K2F Policy Document — AI-Native Aesthetic Design

Purpose

Teach agents to blueprint policy documents before layout: scannable rule architecture, plain-language layers for employees, and formal hierarchy—without inventing benefits, legal obligations, jurisdictions, or approval paths the user or HR/legal did not supply.

Built on K2F

This skill produces policy documents as .K2F packages. Follow the k2f skill for authoring: unpack or init a workspace, edit the semantic tree, run pack/verify, then export. K2F keeps agents on meaning (sections, emphasis, tables)—not pixel coordinates—while the engine compiles layout, typography, and theme into consistent export-ready output.

Before you build, install the core skill: npx skills add suzheng/k2f --skill k2f.

When to Use

  • New or refreshed single-policy pages (PTO, remote work, expenses, conduct, travel, security, leave types).
  • Handbook sections that must read consistently with house style but stay findable on first scan.
  • Reformatting draft or pasted policy language into a publishable structure for HR or legal review.
  • Not for chat-only policy Q&A, AgentRC scoring policies, or counsel-grade contracts (use k2f-contract).

Workflow

Step 1. Generate the content_and_design.md

One blueprint pairing information architecture with design intent. Label blocks the k2f skill can map to sections, callouts, and emphasis later.

Sub-steps

  1. Document frame — Policy title, document ID if user provided, effective date, version, policy owner (team/role), and applicability (entities, locations, employment types). State whether this is new, amendment, or supersedes prior text; link prior version only from user inputs.

  2. Purpose & scope — Two short blocks: why the policy exists (one paragraph max) and who/when it applies. Cut narrative that repeats the title; flag HR VERIFY when scope crosses regions the user did not specify.

  3. At-a-glance layer — Quick summary (3–5 bullets or one short paragraph): what employees must know before reading detail. This is the scan anchor—not a second copy of every rule.

  4. Definitions — Only terms that change compliance meaning in this policy; omit dictionary glossaries.

  5. Policy statements — Numbered rules: clear subject, modal verb (must / may not / requires approval), and outcome. One obligation per bullet; no mixed “policy + how-to” in the same bullet.

  6. Procedures — Separate numbered flows: how to request, report, escalate, or document compliance (forms, systems, timelines from user only). Procedures reference rules; they do not restate them in prose.

  7. Roles & responsibilities — Compact matrix or bullets: employee, manager, HR, IT, finance, legal—who does what at each step.

  8. Exceptions & approvals — Who may grant exceptions, required documentation, and where records live. If unknown, APPROVAL PATH — USER TO CONFIRM.

  9. Related policies & references — Cross-links and external regs only when user named them; no fabricated citations.

  10. Enforcement & questions — Consequences or progressive discipline only if user supplied; otherwise LEGAL/HR TO CONFIRM. Who to contact for edge cases and a single questions channel.

  11. Revision history — Table or list: version, date, summary of change, approver—placeholders marked TBD until user fills.

  12. Design intent — Clarity over decoration:

    • Tone: neutral, authoritative, plain language in summary; formal precision in numbered rules; no marketing or apology voice.
    • Hierarchy: title and applicability first; at-a-glance and policy statements strongest; procedures and roles secondary; revision history tertiary.
    • Density: moderate—short paragraphs, bullets for rules and procedures; tables for roles or thresholds when user provided numbers; avoid wall-of-text essays.
    • Palette: restrained neutrals, high body contrast, minimal accent on must/may not, deadlines, and approval paths; WCAG AA; no stock imagery that competes with rules.

Rules & constraints

  • Source gate: mandatory or jurisdiction-specific language stays verbatim from user; mark all other drafts FOR HR/LEGAL REVIEW.
  • Honesty gate: no invented PTO days, dollar limits, legal citations, systems, or approver names.
  • Separation gate: rules in policy statements; steps in procedures; do not hide the rule inside a procedure paragraph.
  • Applicability gate: every obligation names who it binds; ambiguous geography → flag, do not assume US-default silently.
  • Single-topic gate: one policy subject per blueprint; split unrelated topics (e.g., travel vs. expenses) unless user explicitly wants a combined handbook chapter with named parts.

Common failure modes

  • Essay introduction with no at-a-glance → employees never find the rule.
  • Rules buried in FAQ narrative → extract imperatives into numbered policy statements.
  • Procedures before rules → reorder so “what” precedes “how.”
  • Duplicate quick summary and full section → summary stays short; detail lives below.
  • Generic AI handbook voice → replace with user terms, systems, and approvers or mark TBD.
  • Missing who to contact → edge cases bounce to informal channels.
  • Amendment without what changed in revision history → compliance tracking breaks.
  • Mixing employee-facing plain text with privileged legal analysis → keep external-facing tone only.

Quality checklist

  • Frame includes applicability, effective date, and new/amend/supersedes status.
  • At-a-glance layer stands alone; policy statements are numbered and imperative.
  • Procedures separated; roles and exception path present or marked TBD.
  • User-mandated text verbatim; no invented limits, citations, or contacts.
  • Related policies listed only from user inputs.
  • Design intent specifies tone, hierarchy, density, and emphasis for rules vs. procedures.

Step 2. Use the content_and_design.md and k2f skill to generate a K2F file and export to an appropriate file format.

Follow k2f to build the policy from the blueprint, apply design-intent roles, verify, and export for HR/legal review (typically PDF or DOCX).

FAQ

What does the k2f-policy-document skill do?

Draft employee- and organization-facing policy documents—handbook sections, HR rules, conduct, benefits summaries, and compliance procedures—from user source material, outlines, or legacy policy text. Use when the user asks for a policy document, employee handbook section, HR policy, workplace rule write-up, or formal policy refresh. Create policy documents with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.

How do I install k2f-policy-document?

Run npx skills add https://github.com/suzheng/k2f --skill k2f-policy-document in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/k2f-policy-document/ (personal) or .claude/skills/k2f-policy-document/ (project).

Which AI agents can use k2f-policy-document?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is k2f-policy-document safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains k2f-policy-document?

It is published by suzheng in suzheng/k2f. It has 635 recorded installs.

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