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Process Docs

Community
shawnpang
process-docs

When the user needs to create SOPs, playbooks, runbooks, or other operational documentation that defines how a recurring process should be executed.

Overview

Publishershawnpang
Repositorystartup-founder-skills
Skill nameprocess-docs
Stars
368
Forks
43
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by shawnpang on GitHub. Read the source before you install it.

Installation

Install the Process Docs AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/shawnpang/startup-founder-skills/tree/main/skills/process-docs
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/shawnpang/startup-founder-skills.git /tmp/startup-founder-skills
mkdir -p .claude/skills
cp -r /tmp/startup-founder-skills/skills/process-docs .claude/skills/process-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Process Docs in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Process Docs on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Process Docs is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Process Documentation

When to Use

Activate when a founder or operator needs to document an internal process so it can be executed consistently by anyone on the team. This includes prompts like "write an SOP for X," "create a runbook for incident response," "document our onboarding playbook," "how do we standardize this process," or any request to turn tribal knowledge into a repeatable procedure.

Context Required

  • From startup-context: company stage, team size, current tools and systems, organizational structure, compliance requirements.
  • From the user: the process to document, who owns and executes it, current pain points or failure modes, frequency of execution, tools involved, and whether this replaces an existing (undocumented) process or is net-new.

Workflow

  1. Identify document type — Determine whether this is an operational SOP (routine procedure), an incident runbook (reactive response), or an onboarding playbook (sequential learning path). Each uses a different template.
  2. Map the process end-to-end — Walk through every step from trigger event to completion. Identify inputs, outputs, decision points, handoffs, and escalation paths.
  3. Define ownership and RACI — Assign a single owner (Responsible), identify who Approves, who is Consulted, and who is Informed for each major step.
  4. Draft the document — Write using the appropriate template below. Use imperative voice ("Open the dashboard," not "The dashboard should be opened").
  5. Add decision trees — For any step with conditional logic, create explicit if/then branches. Never leave ambiguity at a fork.
  6. Include failure modes — Document what to do when each step fails. A process doc without error handling is incomplete.
  7. Set review cadence — Specify when this document should be reviewed and by whom (e.g., quarterly by the process owner).

Output Format

A structured markdown document following one of the three templates below. Every process doc includes a metadata header, and the body is written so that someone with no prior context can execute the process end-to-end.

Template 1: Operational SOP

# [Process Name] — Standard Operating Procedure
**Owner:** [Name / Role]
**Last Updated:** [Date]
**Review Cadence:** [Quarterly / Monthly]
**Version:** [1.0]

## Purpose
Why this process exists and what business outcome it supports.

## Scope
What this SOP covers and explicitly does not cover.

## Prerequisites
Tools, access, permissions, or context needed before starting.

## Procedure
1. Step with specific action
   - Sub-step with detail
   - **Decision point:** If [condition], go to Step X. Otherwise continue.
2. Next step...

## Escalation Path
| Condition | Escalate To | SLA |
|-----------|------------|-----|
| [Trigger] | [Person/Role] | [Timeframe] |

## Success Criteria
How to verify the process was completed correctly.

## Changelog
| Date | Author | Change |
|------|--------|--------|

Template 2: Incident Runbook

# [Incident Type] — Runbook
**Severity:** [P0-P3]
**On-Call Owner:** [Role]
**Last Tested:** [Date]

## Detection
How this incident is identified (alerts, customer reports, monitoring).

## Immediate Actions (First 5 Minutes)
1. Triage step...
2. Communication step...

## Diagnosis
Decision tree for identifying root cause.

## Resolution Steps
Step-by-step fix for each known root cause.

## Post-Incident
Checklist for after the incident is resolved.

Template 3: Onboarding Playbook

# [Role/Process] — Onboarding Playbook
**Duration:** [e.g., 2 weeks]
**Buddy/Owner:** [Role]

## Day 1-2: Orientation
Tasks, access setup, key introductions.

## Day 3-5: Core Training
Hands-on exercises, shadowing, tool walkthroughs.

## Week 2: Guided Practice
Supervised execution of real tasks with checkpoints.

## Graduation Criteria
What the person must demonstrate to be considered onboarded.

Frameworks & Best Practices

  • The "bus factor" test. If the person who usually runs this process is unavailable, can someone else execute it from this document alone? If not, add more detail.
  • Imperative voice only. Every step starts with a verb. "Click the Deploy button" not "The Deploy button should be clicked."
  • One action per step. If a step contains "and," split it into two steps. Compound steps get skipped or half-done.
  • Decision points are explicit. Use if/then language with clear conditions. "If the customer is on an Enterprise plan, skip to Step 7" not "Handle enterprise customers differently."
  • Time estimates matter. Include expected duration for each major phase. This helps people plan and signals when something has gone wrong (step taking 3x longer than expected = escalate).
  • Screenshots decay fast. Prefer text descriptions of UI paths (Settings > Integrations > Slack) over screenshots, which break every redesign. Use screenshots only for genuinely complex interfaces.
  • Version and date everything. A process doc without a last-updated date is assumed to be wrong.
  • Progressive detail. Lead each section with a one-line summary, then expand. Experienced operators scan; new hires read every word. Serve both.
  • Link, don't duplicate. If another SOP covers a sub-process, link to it rather than copying steps inline. Duplication causes drift.
  • Test with a newcomer. The best review is having someone unfamiliar with the process follow the doc and noting where they get stuck.

Related Skills

  • support-docs — Chain when the process being documented is customer-facing and needs a corresponding help center article or troubleshooting guide.
  • board-update — Chain when operational processes need to be summarized for investor or board reporting (e.g., "here is our incident response maturity").

Examples

Example 1: Operational SOP

User: "Write an SOP for processing customer refunds."

Good output excerpt:

Procedure

  1. Open the refund request in Zendesk. Verify the ticket includes: order ID, reason for refund, and customer email.
  2. Check eligibility in Stripe.
    • Decision point: If the order is older than 30 days, escalate to the Support Lead with a note explaining the customer's situation. Do not process the refund.
    • If within 30 days, continue to Step 3.
  3. Issue the refund via Stripe Dashboard > Payments > [Order ID] > Refund. Select "Full refund" unless partial was approved by the Support Lead.
  4. Update the ticket with the Stripe refund ID and set status to "Solved."
  5. Log the refund in the Refund Tracker spreadsheet (column A: date, B: order ID, C: amount, D: reason code).

Estimated time: 5-8 minutes per refund.

Example 2: Incident Runbook

User: "We need a runbook for when our payment processing goes down."

Good output excerpt:

Immediate Actions (First 5 Minutes)

  1. Acknowledge the alert in PagerDuty to stop re-escalation.
  2. Check Stripe Status Page (status.stripe.com). If Stripe reports an outage, skip to "External Provider Outage" section.
  3. Post in #incidents Slack channel: "Investigating payment processing failures. Updates every 15 min. DRI: [your name]."
  4. Enable the maintenance banner via Admin > Feature Flags > payment_maintenance_mode = true. This shows users "Payments temporarily unavailable, please retry shortly" instead of raw errors.

Frequently asked questions

What does the Process Docs AI skill do?

When the user needs to create SOPs, playbooks, runbooks, or other operational documentation that defines how a recurring process should be executed.

Why use Process Docs on TypingMind?

Because you install it once and use it with any model. Process Docs is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Process Docs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shawnpang/startup-founder-skills/tree/main/skills/process-docs. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Process Docs?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Process Docs?

As many as you like. As long as a model supports skills, you can use Process Docs with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Process Docs AI skill free?

Yes. It is published on GitHub by shawnpang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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