Agent skill

Automation Instructions

by deusXmachina-dev in deusXmachina-dev/memorylane

Write step-by-step automation instructions for a workflow, tailored to your tool (Claude, n8n or Zapier).

GPL-3.0Auto-check passedProductivity & Automation

Install Automation Instructions

skills CLI
$ npx skills add deusXmachina-dev/memorylane --skill automation-instructions -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install deusXmachina-dev/memorylane automation-instructions --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/deusXmachina-dev/memorylane.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/memorylane/skills/automation-instructions .claude/skills/automation-instructions && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
automation-instructions
GitHub stars
121
Token cost
~1.1k tokens
SKILL.md length
535 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
GPL-3.0

At a glance

Write step-by-step automation instructions for a workflow, tailored to your tool (Claude, n8n or Zapier).

  • Works in 4 steps: Get the workflow (prefer prior output) → Ask three things (one batched… → Write the instructions (tailored to the… → …
  • Tasks that involve Workflow automation
  • SKILL.md covers Before you start, Step 1. Get the workflow…, Step 2. Ask three things (one… and Step 3. Write the instructions…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Automation Instructions is an agent skill from deusXmachina-dev/memorylane. Write step-by-step automation instructions for a workflow, tailored to your tool (Claude, n8n or Zapier). Best run right after discover-patterns or process-analyst.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Workflow automation. It works with n8n and Zapier. The licence is GPL-3.0.

When your agent uses it

  • Tasks that involve Workflow automation

Example prompts

  • “/automation-instructions”

Requirements

  • Pre-approved tools (allowed-tools): AskUserQuestion, mcp__memorylane__browse_timeline, mcp__memorylane__search_context, mcp__memorylane__get_activity_details

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Get the workflow (prefer prior output)
  2. Ask three things (one batched AskUserQuestion)
  3. Write the instructions (tailored to the tool + format)
  4. Save and present

What it can do on your machine

Read from SKILL.md and the folder at commit 16abbe0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • AskUserQuestion
    • mcp__memorylane__browse_timeline
    • mcp__memorylane__search_context
    • mcp__memorylane__get_activity_details

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Automation Instructions loads about 1.1k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 535 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from deusXmachina-dev/memorylane at commit 16abbe0, republished under its GPL-3.0 licence (© deusXmachina-dev). 535 words, ~1,142 tokens.

Download SKILL.mdSave it as .claude/skills/automation-instructions/SKILL.md (or your agent's skills folder).
name
automation-instructions
description
Write step-by-step automation instructions for a workflow, tailored to your tool (Claude, n8n or Zapier). Best run right after discover-patterns or process-analyst.
allowed-tools
AskUserQuestion, mcp__memorylane__browse_timeline, mcp__memorylane__search_context, mcp__memorylane__get_activity_details

Automation Instructions

Turn one workflow into clear, build-ready instructions for a specific automation tool. Assumes it runs after /discover-patterns or /process-analyst-new, so it reuses their output as the source and does NOT re-mine the timeline unless nothing is supplied.

Before you start

If the browse_timeline tool is not available, stop and reply with exactly:

MemoryLane isn't connected to Claude yet. Open the MemoryLane app, go to Integrations, click Add to Claude, then restart Claude Desktop and run this again.

Do not suggest plugin settings, Retry, or toggling the plugin.

Step 1. Get the workflow (prefer prior output)

In priority order, do NOT re-derive what you already have:

  1. A pattern from /discover-patterns (a selected pattern + its details) -> use it as-is.
  2. A process from /process-analyst-new (a process-analysis*.json ledger, or a process the user points to) -> read that process's steps, apps, frequency, and automatable split. Glob process-analysis*.json in the working dir; if found, use it.
  3. A workflow the user describes in chat -> use the description as-is.

Only if NONE of the above is available, fall back to mining: search_context(query) across ~30 days for instances, browse_timeline around the strongest matches for the full sequence, and get_activity_details(ids) on 2 to 3 clear instances for exact steps. Keep it bounded.

Step 2. Ask three things (one batched AskUserQuestion)

  1. Target tool - Claude, n8n, or Zapier. Drives the whole output style.
  2. Constraints - anything it must NOT do (no writes to prod, no emails to customers, human approval required, leave step X manual, etc.).
  3. Output format - text, markdown, or JSON. Assume markdown if skipped.

Respect the constraints everywhere in Step 3, and call out any step the constraints force to stay human.

Show full SKILL.md (256 more words)Show less

Step 3. Write the instructions (tailored to the tool + format)

Reconstruct the flow from trigger to done, separating variables (change each run, the inputs) from constants (fixed, hardcoded). Then write it for the chosen tool:

  • Claude (Cowork / Skill) - frame as Connect, Create, Run. Which apps to connect, the Skill/agent brief and the steps Claude runs, what it drafts vs writes, and the human approval gate before anything is sent or saved.
  • n8n - the trigger node, the ordered nodes with the app/action and the data mapped between them, and error/retry handling. Deterministic, so any judgment step stays a human or AI-assist node.
  • Zapier - the Trigger, then one Action per step (app + action + field mapping), plus any Filter or Path for branches. Note steps Zapier cannot do that need a human or code.

Render in the chosen format: markdown = the skeleton below; text = the same content as plain prose, no markdown; JSON = one object { name, tool, trigger, variables[], constants[], steps[{n, app, action, input, output, on_error}], human_steps[], constraints[] }.

Markdown skeleton (keep it tight, drop empty sections):

markdown
# [Workflow] - Automation instructions ([tool])

**Does:** [one line] **Trigger:** [what starts it] **Frequency:** [from the source]
**Constraints:** [what it must not do]

## Variables (inputs that change each run)

- [name]: [example]

## Constants (hardcoded)

- [name]: [value]

## Steps

1. [Action] in [app] - input [x] -> output [y]. On error: [fallback].
2. ...

## Stays human

- [step + why, incl. anything the constraints forced manual]

## Build notes ([tool])

- [trigger + key apps/nodes/actions + effort: easy/medium/hard]

Step 4. Save and present

Ask where to save (default ~/Desktop/automation/[workflow-slug].md, or .txt / .json to match the format). Create the folder if needed. Then show the path and a 2-line summary (tool, step count, key apps). Offer to do another workflow.

Notes

  • Privacy - never put passwords, API keys, or personal-message content in the output; keep only process-relevant details (app names, field labels, URLs).
  • Gaps - if the source evidence is thin, say which steps are assumed and what the user should confirm before building.

© deusXmachina-dev, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/memorylane/skills/automation-instructions of deusXmachina-dev/memorylane.

Open the folder on GitHubat commit 16abbe0

Compare with similar skills

Automation Instructions next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Automation Instructions compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Automation Instructions this skilldeusXmachina-dev/memorylane121—~1.1kAutomated safety check: PassGPL-3.0
GTM Engineeringtech-leads-club/agent-skills7k—~4.8kAutomated safety check: PassCustom licence
Automation WorkflowsCraftOS-dev/CraftBot3921 repos~2.6kAutomated safety check: PassMIT
Automation Flowsericrisco/rsc-harness174—~2.9kAutomated safety check: PassMIT
Lindy Migration Deep Divejeremylongshore/tons-of-skills-marketplace2.8k—~2kAutomated safety check: PassMIT
Automation Strategyericrisco/rsc-harness174—~3.3kAutomated safety check: PassMIT

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Works with

Questions about Automation Instructions

What does Automation Instructions do?

Write step-by-step automation instructions for a workflow, tailored to your tool (Claude, n8n or Zapier). Automation Instructions is an agent skill from deusXmachina-dev/memorylane. Write step-by-step automation instructions for a workflow, tailored to your tool (Claude, n8n or Zapier).

When should I use Automation Instructions?

Automation Instructions fits situations like: tasks that involve Workflow automation.

How do I install Automation Instructions in Claude Code?

Run `npx skills add deusXmachina-dev/memorylane --skill automation-instructions -a claude-code`. Or copy the skill folder (plugins/memorylane/skills/automation-instructions in deusXmachina-dev/memorylane) into .claude/skills/automation-instructions in your project. Claude Code loads it when a task matches its description.

How do I install Automation Instructions in Codex?

Run `npx skills add deusXmachina-dev/memorylane --skill automation-instructions -a codex`. Or copy the skill folder (plugins/memorylane/skills/automation-instructions in deusXmachina-dev/memorylane) into .agents/skills/automation-instructions in your project. Codex loads it when a task matches its description.

Can I use Automation Instructions in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add deusXmachina-dev/memorylane --skill automation-instructions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/automation-instructions, .gemini/skills/automation-instructions, .github/skills/automation-instructions and .opencode/skills/automation-instructions in your project.

What does Automation Instructions need to run?

SKILL.md names no scripts, command-line tools or credentials: Automation Instructions is instructions for the agent only. Its frontmatter pre-approves these tools: AskUserQuestion, mcp__memorylane__browse_timeline, mcp__memorylane__search_context, mcp__memorylane__get_activity_details.

Does Automation Instructions access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Automation Instructions safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Automation Instructions use?

Automation Instructions is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Automation Instructions use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Automation Instructions?

Skills that share tags, products or a category with Automation Instructions: GTM Engineering (tech-leads-club/agent-skills, 7k stars), Automation Workflows (CraftOS-dev/CraftBot, 392 stars), Automation Flows (ericrisco/rsc-harness, 174 stars) and Lindy Migration Deep Dive (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Automation Instructions?

deusXmachina-dev (a GitHub organization) maintains it in deusXmachina-dev/memorylane, which has 121 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 8, 2026.

Source: deusXmachina-dev/memorylane on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.