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Runbook

Organization
testdouble
runbook

Create or update a runbook for an operational scenario — an incident an alert fires for, a recurring scheduled task, or a known failure mode on a live service — using a consistent template. Use when writing, drafting, authoring, or updating a runbook for an alert, incident, on-call procedure, scheduled maintenance, or operational SOP. Applies a YAGNI preflight requiring the scenario to be real before producing the runbook. Does not produce feature or system documentation — use project-documentation. Does not record architectural decisions — use architectural-decision-record. Does not create coding standards — use coding-standard.

Overview

Publishertestdouble
Repositoryhan
Skill namerunbook
Stars
320
Forks
26
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Runbook 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/testdouble/han/tree/main/han-documentation/skills/runbook
  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/testdouble/han.git /tmp/han
mkdir -p .claude/skills
cp -r /tmp/han/han-documentation/skills/runbook .claude/skills/runbook
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Runbook 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 Runbook 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 Runbook 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.

Create or Update Runbook

Operating Principles

  • YAGNI applies to runbooks themselves. Apply the evidence-based YAGNI rule from ../../references/yagni-rule.md. A runbook is worth writing only when the scenario is grounded in something real: an alert that has actually fired, a documented incident, a recurring task that exists, or a known failure mode on a service that receives production traffic. Runbooks for hypothetical alerts, "best practice says we should have one," or "we'll need this someday" are YAGNI candidates and the runbook should be deferred until the scenario actually occurs. The canonical anti-pattern from project history: Sentry runbooks for staging-only Sentry where data isn't reaching production — alerts that will never fire because no signal flows. The user always wins; the rule's job is to make the cost of speculative runbooks visible.
  • The companion evidence rule applies to the runbook's supporting evidence. Apply the evidence rule from ../../references/evidence-rule.md to the citations that ground the scenario: name the trust class of each piece of evidence (alert history, incident report, on-call rotation pattern); cite the actual artifact (dashboard URL, ticket ID, log query) rather than paraphrased recollection; and surface single-source claims as such rather than presenting them as settled.
  • One runbook per invocation. The skill produces a single runbook file. Multi-runbook batches conflate scope; rerun the skill per scenario.
  • Imperative commands with expected output. The template requires every step to show the exact command and what success looks like. Prose paragraphs in place of commands are an authoring failure the skill prompts against.
  • Staleness is the failure mode. The template requires owner, last-validated, last-edited, and a change-history entry so decay is visible rather than hidden. The skill does not enforce a review cadence — that is a team-level workflow concern — but the metadata fields make the cadence auditable.
  • Readability standard. Source the standard by invoking han-communication:readability-guidance and apply it as you write the runbook. Hold its default audience frame: a capable reader who did not do this work and lacks the author's context — here, the operator following the runbook during an incident.

Project Context

  • Git user: !git config user.name || echo unset (!git config user.email || echo unset)
  • OS username: !whoami
  • Today's date: !date +%Y-%m-%d
  • CLAUDE.md: !find . -maxdepth 1 -name "CLAUDE.md" -type f
  • project-discovery.md: !find . -maxdepth 3 -name "project-discovery.md" -type f
  • personal config directory: !bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh" 2>/dev/null || echo "$HOME/.claude"
  • project .han/config.md: !cat .han/config.md 2>/dev/null || echo ""

As your first action, use the Read tool on .han/config.md inside the personal config directory path above. A read that returns no file is no personal configuration: continue silently. When that file or the project .han/config.md probe supplies content, apply it per config-rule.md, which governs precedence between the two files, relative-path resolution, and what to do with a file that reads but cannot be used.

Step 1: Determine Mode

Determine which mode to operate in based on the user's request:

ModeWhenThen
Creating newDrafting a runbook for a scenario the project does not yet have one for→ Step 2
Updating existingModifying an existing runbook (new step, validation date refresh, escalation change)Read the existing runbook → Step 4
Validating existingUser says they ran the procedure end-to-end and wants to refresh Last validated and add a change-history entryRead the existing runbook → Step 4 (update mode, validation entry only)

Step 2: Apply the YAGNI Preflight

Before discovering structure or gathering context, gate the work. Ask the user (or confirm from their request) which of the following describes the scenario:

  1. An alert that has actually fired — name the alert, link the firing incident or alert manager record.
  2. A documented incident or post-mortem — link it.
  3. A recurring scheduled task that the team performs (weekly index rebuild, monthly cert rotation, etc.) — name the cadence and where the schedule lives.
  4. A live failure mode on a service that receives production traffic, where the failure has occurred or is expected to occur with current measured pressure — name the service and the failure mode.
  5. Customer report or stakeholder commitment requiring this procedure to be documented now — link it.

If none of these applies, recommend deferring the runbook. Surface the recommendation to the user with the trigger that would justify revisiting:

"I don't see a current trigger forcing this runbook. Per the project's YAGNI rule, runbooks for alerts that have never fired are an anti-pattern. Recommend deferring until {trigger — first alert fires, first occurrence of the failure mode, first run of the recurring task, customer commitment lands}. Override and proceed anyway?"

The user always wins. If they override, record the override in the runbook's Origin field as "override: written preventively at user request on {date} — {reason}" so future readers can see the runbook was written without standard evidence.

If the scenario does pass the preflight, capture the evidence — the user will be asked again at Step 4 to drop the link or reference into the runbook's Origin metadata field.

Step 3: Discover Project Structure

  1. Resolve project config. Read CLAUDE.md's ## Project Discovery section for documented runbook and docs directories. Fall back to project-discovery.md. Fall back to Glob defaults (docs/runbooks/, runbooks/, docs/). Continue without any keys that remain unfound.

  2. Determine the runbooks directory. Use the runbooks directory if found; otherwise use {docs-dir}/runbooks/ if a docs directory was found; otherwise default to docs/runbooks/. Run mkdir -p on the resolved directory to ensure it exists.

  3. Enumerate existing runbooks. Use Glob to find existing .md files in the runbooks directory and any service subdirectories. Read filenames to detect whether the project organizes runbooks flat (docs/runbooks/{scenario}.md), per-service (docs/runbooks/{service}/{scenario}.md), or alert-keyed (docs/runbooks/alerts/{AlertName}.md).

  4. Resolve author information. If git user or email is empty or reads unset in the project context above, ask the user for their name and email.

  5. Check existing runbook format. If existing runbooks were found, read one to understand the project's format. If it differs from runbook-template.md, ask the user whether to match the existing format or use this skill's template. Default to matching the existing format when the project already has more than two runbooks — consistency is the larger value.

Step 4: Gather Context

From the arguments, conversation, and YAGNI preflight in Step 2, capture:

  • Title — the symptom-first title per the template's title rule. Lead with the observable failure or operation, not the system name. Good: Postgres primary unreachable: connections time out. Bad: Database failover.
  • Severity — the org's severity scheme. If the alert uses a different name (P1/P2), record both.
  • Triggers — the alert name (with link to alert definition or monitoring), the schedule, the upstream runbook, or "manual".
  • Reversibility — yes, partial, no — wait it out, no — data loss possible. This sets the front-door signal so the engineer knows before they commit whether they can back out.
  • Origin — the link or reference captured in Step 2. Required.
  • Owner — team or person paged at 2am for this runbook's freshness.
  • Prerequisites — access groups, VPN, kubectl context, CLI tools with minimum versions, on-call privileges. "None — workstation only" is a valid answer; blank is not.
  • Symptoms — what the engineer sees that brings them to this runbook.
  • The procedure — for each step, the exact command (or non-command action), what success looks like, and what to do if the output differs. Use imperative voice.
  • Verification — how to confirm the original symptom is gone (separate from per-step expected output).
  • Escalation — for each escalation step, the condition (time-box or specific failure), the recipient, and the channel (PagerDuty service, Slack room, phone).
  • Rollback — how to undo the fix, or the explicit alternative if rollback is not possible.

If any of these are unclear, use AskUserQuestion to clarify before writing. Ask only for what is genuinely missing; do not re-ask for values present in the user's request.

When the user gives you a recent incident, post-mortem, or alert as the scenario, read it to extract the symptoms, the procedure that worked, and the verification — do not re-derive these from the model's understanding.

Step 5: Write the Runbook

  1. Copy the template from runbook-template.md.

  2. File name and location. Place the file in the runbooks directory from Step 3.

    • Slug: kebab-case, lead with the scenario or symptom, not the system name. postgres-primary-unreachable.md, not failover.md.
    • Per-service subdirectory: when the project already organizes runbooks per-service (detected in Step 3), place the file under the matching service directory: docs/runbooks/{service}/{scenario}.md. Reuse an existing service directory when one fits; only introduce a new service directory when no existing one applies.
    • Alert-keyed: when the project organizes by alert name (detected in Step 3), use the alert name as the file name: docs/runbooks/alerts/{AlertName}.md.
    • Flat default: when the project has no convention yet, place the file at docs/runbooks/{slug}.md.
    • If the project has more than one reasonable placement, ask the user before writing.
  3. Fill the metadata block with Severity, Triggers, Reversible, Last validated (today's date and the validating party — if the procedure has not been run end-to-end, leave Last validated empty and note in change history that it has not yet been validated), Last edited (today's date), Owner, and Origin (from the YAGNI preflight in Step 2).

  4. Fill each required section following the template's HTML comments for guidance:

    • Symptoms — what the engineer sees.
    • Prerequisites — required access and tools. Write "None — workstation only" if nothing is required; do not leave blank.
    • Resolve — numbered steps with exact commands and expected output. One logical action per step.
    • Verify the fix landed — concrete checks that the original symptom is gone.
    • Escalate — condition → recipient → channel.
    • Rollback — steps to undo, or explicit "Not applicable — {reason and alternative}".
    • Live links — operational surfaces used during the incident.
    • Change history — start with the creation entry citing the Origin reference.
  5. Fill applicable optional sections and delete the headings for any optional section that does not apply. The optional sections are: Likely cause, Not this — try instead, Background, Quick fix, If a step fails, If the problem comes back, What didn't work and why, Background and related. An empty heading reads as "this runbook is incomplete" — delete rather than leave blank.

  6. Delete the author guidance comment block at the top of the template once the file is filled in.

  7. Readability. Invoke han-communication:readability-guidance to surface the shared readability standard into your context, then as you write the prose regions apply it: lead each section with its main point, use descriptive headings, keep one idea per paragraph with the first sentence carrying it, number the procedure's steps and bullet non-sequential items, and reveal detail in layers. Do not duplicate the rule text. A runbook's procedures are already numbered steps, which aligns with the rule.

  8. If updating an existing runbook: edit the existing file in place. Append a new change-history entry on top with the date, your name, what changed and why, and the validation status. Update Last edited to today; update Last validated only if you actually ran the procedure end-to-end against production or a faithful staging environment.

Step 6: Integration

  1. If the project's CLAUDE.md or AGENTS.md has a section that lists runbooks (or that references operational documentation by name), add a one-line entry pointing to the new runbook. Follow the pattern of existing entries; do not invent a new convention.
  2. If the runbook closes a procedure documented in an incident report, post-mortem, or related ADR, add a cross-reference from that document back to the runbook.
  3. If the runbook's Triggers field names an alert that has a definition file in the repository (Prometheus rule, monitoring-as-code config), add a comment in the alert definition pointing to the runbook path.

Step 7: Verification

Read back the runbook file and confirm:

  1. All metadata fields are filled — no {placeholder} values remain in Severity, Triggers, Reversible, Owner, Origin. Last validated is either a real date with the validating party or explicitly noted as not yet validated in change history.
  2. The Origin field contains a real link or reference per the YAGNI preflight. If the user overrode the preflight, the override is recorded explicitly.
  3. The Symptoms section is concrete (alert text, error message, log line, or user-visible behavior) rather than generic prose.
  4. Every step in Resolve has either an exact command with expected output, or a non-command action with the equivalent "what success looks like" signal.
  5. Verify the fix landed lists at least one concrete check that the original symptom is gone, distinct from per-step expected output.
  6. Escalate entries lead with a condition (when), then the recipient, then the channel.
  7. Rollback is either filled with steps or explicitly marked not applicable with an alternative.
  8. Optional sections that do not apply have been deleted entirely — no empty headings remain.
  9. The author guidance comment block at the top of the template has been removed.
  10. Change history has at least one entry — the creation entry citing Origin.

Fix any issues found before presenting the runbook to the user.

Step 8: Readability Self-Check

Run the standardized readability self-check (the shared standard is in your context from han-communication:readability-guidance) over the runbook's prose regions only — never inside code fences, command blocks, diagram bodies, or citation identifiers. This skill runs no rewrite pass, so this self-check is the fidelity guard on the output; the fidelity criterion is not optional. Confirm each criterion and fix any failure before presenting:

Run the readability rule's standardized self-check, which is already in your context from the readability-guidance invocation above. Correct every failure before presenting. Its fidelity criterion is not optional: the standard governs how the content is said, and drops a required fact only when the reader asked for less and losing it would not change what they do next.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Runbook AI skill do?

Create or update a runbook for an operational scenario — an incident an alert fires for, a recurring scheduled task, or a known failure mode on a live service — using a consistent template. Use when writing, drafting, authoring, or updating a runbook for an alert, incident, on-call procedure, scheduled maintenance, or operational SOP. Applies a YAGNI preflight requiring the scenario to be real before producing the runbook. Does not produce feature or system documentation — use project-documentation. Does not record architectural decisions — use architectural-decision-record. Does not create...

Why use Runbook on TypingMind?

Because you install it once and use it with any model. Runbook 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 Runbook in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/testdouble/han/tree/main/han-documentation/skills/runbook. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Runbook?

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 Runbook?

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

Is the Runbook AI skill free?

Yes. It is published on GitHub by testdouble 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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