Agent skill

Lindy Migration Deep Dive

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Advanced migration strategies for moving to Lindy AI from other platforms.

MITAuto-check passedProductivity & Automation

Install Lindy Migration Deep Dive

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-migration-deep-dive -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace lindy-migration-deep-dive --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/lindy-migration-deep-dive .claude/skills/lindy-migration-deep-dive && 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
lindy-migration-deep-dive
GitHub stars
2.8k
Token cost
~2k tokens
SKILL.md length
713 words
Files
3 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Advanced migration strategies for moving to Lindy AI from other platforms.

  • Works in 6 steps: Inventory Source Automations → Classify Migration Complexity → Migration Strategy by Source → …
  • Migrating from Zapier
  • SKILL.md covers Overview, Prerequisites, Migration Source Comparison and Instructions, plus 6 more sections
  • Calls make

What it does

Lindy Migration Deep Dive is an agent skill from jeremylongshore/tons-of-skills-marketplace. Advanced migration strategies for moving to Lindy AI from other platforms. Use when migrating from Zapier, Make, n8n, custom automations, or consolidating fragmented agent systems. Trigger with phrases like "lindy migration", "migrate to lindy", "zapier to lindy", "switch to lindy", "consolidate automations".

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/implementation-guide.md` and `references/implementation.md`). Compatibility notes: Designed for Claude Code

It sits in Productivity & Automation, covering Workflow automation. It works with Zapier, n8n and LangChain. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Migrating from Zapier
  • Custom automations
  • Consolidating fragmented agent systems
  • With phrases like lindy migration

Example prompts

  • “lindy migration”
  • “migrate to lindy”
  • “zapier to lindy”
  • “/lindy-migration-deep-dive”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(curl:*)

Workflow steps

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

  1. Inventory Source Automations
  2. Classify Migration Complexity
  3. Migration Strategy by Source
  4. Execute Migration (Phased)
  5. Redesign Opportunities
  6. Validate and Cutover

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. 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:

    • Read
    • Write
    • Edit
    • Bash(curl:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • make

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

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.lindy.ai
    • lindy.ai

    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.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Lindy Migration Deep Dive loads about 2k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 713 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.2k

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 713 words, ~2,007 tokens.

Download SKILL.mdSave it as .claude/skills/lindy-migration-deep-dive/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
lindy-migration-deep-dive
description
Advanced migration strategies for moving to Lindy AI from other platforms. Use when migrating from Zapier, Make, n8n, custom automations, or consolidating fragmented agent systems. Trigger with phrases like "lindy migration", "migrate to lindy", "zapier to lindy", "switch to lindy", "consolidate automations".
allowed-tools
Read, Write, Edit, Bash(curl:*)
compatibility
Designed for Claude Code
version
1.20.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, lindy, migration

Lindy Migration Deep Dive

Overview

Migrate existing automation workflows from Zapier, Make (Integromat), n8n, LangChain, or custom code to Lindy AI. Key insight: Lindy replaces rigid rule-based automations with AI agents that can reason, adapt, and handle ambiguity — so migration is a redesign opportunity, not a 1:1 translation.

Prerequisites

  • Inventory of existing automations (source platform)
  • Lindy workspace ready with required integrations authorized
  • Migration timeline approved
  • Rollback plan defined for customer-facing workflows

Migration Source Comparison

Source PlatformLindy EquivalentKey Difference
Zapier ZapLindy AgentAI reasoning replaces rigid if/then
Make ScenarioLindy AgentNo-code builder instead of module chains
n8n WorkflowLindy AgentManaged infra, no self-hosting
LangChain AgentLindy Agent StepNo-code, managed, no Python needed
Custom codeHTTP Request + Run CodeLess code, AI fills gaps

Instructions

Step 1: Inventory Source Automations

For each existing automation, document:

FieldExample
NameSupport Email Triage
TriggerNew email in support@co.com
Steps1. Parse email 2. Classify 3. Route to channel
IntegrationsGmail, Slack, Sheets
Frequency~50 runs/day
ComplexityMedium (3 steps, 1 condition)
Step 2: Classify Migration Complexity
ComplexityCriteriaMigration ApproachTime
Simple1-3 steps, no conditionsBuild from scratch in Lindy30 min
Medium4-8 steps, conditionsNatural language description to Agent Builder1-2 hours
Complex9+ steps, multi-branch, loopsRedesign as multi-agent society1-2 days
Custom codePython/JS logicRun Code action + HTTP Request2-4 hours
Step 3: Migration Strategy by Source

From Zapier:

Zapier Pattern → Lindy Pattern
────────────────────────────────
Trigger (New Email) → Trigger (Email Received)
Filter Step → Trigger Filter (more efficient)
Formatter → AI Prompt field mode (AI does formatting)
Lookup → Knowledge Base search or HTTP Request
Multi-step Zap → Single agent with conditions
Paths → Conditions (natural language branching)

From Make (Integromat):

Make Pattern → Lindy Pattern
────────────────────────────────
Scenario → Agent workflow
Module → Action step
Router → Conditions
Iterator → Loop
Aggregator → Run Code action (consolidation logic)
Error Handler → Agent prompt error instructions

From n8n:

n8n Pattern → Lindy Pattern
────────────────────────────────
Trigger Node → Trigger
Function Node → Run Code (Python/JS)
HTTP Request Node → HTTP Request action
IF Node → Condition
Merge Node → Agent step (AI merges intelligently)

From LangChain/Custom Code:

LangChain Pattern → Lindy Pattern
────────────────────────────────
Agent → Agent Step with skills
Tool → Action or HTTP Request
Memory → Lindy Memory (persistent)
Chain → Workflow steps
Vector Store → Knowledge Base
Retrieval Chain → Knowledge Base + AI Prompt
Step 4: Execute Migration (Phased)

Phase 1: Internal-Only Agents (Days 1-3)

  1. Migrate non-customer-facing automations first
  2. Build in Lindy using natural language description
  3. Test with real data for 48 hours
  4. Compare output quality to source automation
  5. Decommission source automation after verification

Phase 2: Low-Risk Customer-Facing (Days 4-7)

  1. Build Lindy agent alongside existing automation (parallel run)
  2. Route 10% of traffic to Lindy agent
  3. Compare results for 48 hours
  4. Gradually increase to 50%, then 100%
  5. Monitor task success rate and response quality

Phase 3: Critical Workflows (Days 8-14)

  1. Build Lindy agent as exact replacement
  2. Test extensively with staging data
  3. Schedule cutover during low-traffic window
  4. Keep source automation pausable (not deleted) for 7 days
  5. Monitor closely for 48 hours post-cutover
Step 5: Redesign Opportunities

Migration is a chance to improve, not just replicate:

Old PatternLindy Improvement
Rigid if/then classificationAI classifies naturally, handles edge cases
Template-based email responsesAI generates contextual, personalized responses
Multiple automations for variationsSingle agent with conditions handles all
Manual data transformationRun Code action or AI handles transformation
No error handlingAgent prompt includes fallback behavior
Show full SKILL.md (275 more words)Show less
Step 6: Validate and Cutover
bash
# Post-migration validation checklist
echo "=== Migration Validation ==="

# 1. Task completion rate
echo "Check: Agent Tasks tab - expect >95% success rate"

# 2. Response quality
echo "Check: Compare 10 agent outputs to old automation outputs"

# 3. Trigger coverage
echo "Check: All events triggering correctly (no missed events)"

# 4. Performance
echo "Check: Task duration within acceptable range"

# 5. Cost
echo "Check: Credit consumption within budget"

Migration Checklist

  • Source system inventory complete
  • Each automation classified by complexity
  • Lindy integrations authorized
  • Phase 1 (internal) agents migrated and verified
  • Phase 2 (low-risk) agents running in parallel
  • Phase 3 (critical) agents tested with staging data
  • Cutover window scheduled
  • Rollback procedure tested
  • Source automations paused (not deleted)
  • 7-day post-cutover monitoring complete
  • Source automations decommissioned

Output

Create a migration record that maps each source automation to its proposed Lindy workflow, risk tier, owner, test corpus, success measures, rollback trigger, and disposition. For every customer-facing cutover, retain the parallel-run comparison and the evidence used to pause, proceed, or roll back; do not treat a configured agent as proof of behavioral equivalence.

Examples

For a support-triage workflow, replay a sanitized fixed case set through both systems, compare routing and escalation outcomes, then shadow a bounded slice of live traffic without allowing duplicate customer actions. Increase traffic only after the recorded thresholds pass. If escalation recall falls below the agreed floor, route all traffic back to the source automation and preserve the failed comparison for prompt and condition redesign.

Error Handling

IssueCauseSolution
Output quality lowerAI prompt needs tuningAdd few-shot examples to agent prompt
Missing edge casesSource had specific rulesAdd condition branches or prompt instructions
Higher cost than expectedOveruse of large modelsRight-size models per step
Integration auth failsOAuth not set up in LindyAuthorize integrations before migration
Data format mismatchDifferent field namesMap fields in Run Code action

Resources

Next Steps

This completes the Flagship tier. Review Standard and Pro skills for comprehensive Lindy mastery.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/.curated/lindy-migration-deep-dive of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/implementation-guide.md
  • references/implementation.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Lindy Migration Deep Dive 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.

Lindy Migration Deep Dive compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lindy Migration Deep Dive this skilljeremylongshore/tons-of-skills-marketplace2.8k—~2kAutomated safety check: PassMIT
Apify Integration Developmentapify/agent-skills2.4k—~3.4kAutomated safety check: PassNone
N8n Agentssickn33/agentic-awesome-skills47k1 repos~6kAutomated safety check: PassMIT
N8nericrisco/rsc-harness180—~2.6kAutomated safety check: NotesMIT
Zapierericrisco/rsc-harness180—~2.8kAutomated safety check: NotesMIT
n8n Custom Code Tool Guideczlonkowski/n8n-skills6.4k—~4kAutomated safety check: PassMIT

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Questions about Lindy Migration Deep Dive

What does Lindy Migration Deep Dive do?

Advanced migration strategies for moving to Lindy AI from other platforms. Lindy Migration Deep Dive is an agent skill from jeremylongshore/tons-of-skills-marketplace. Advanced migration strategies for moving to Lindy AI from other platforms.

When should I use Lindy Migration Deep Dive?

Lindy Migration Deep Dive fits situations like: migrating from Zapier; custom automations; consolidating fragmented agent systems; with phrases like lindy migration.

How do I install Lindy Migration Deep Dive in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-migration-deep-dive -a claude-code`. Or copy the skill folder (skills/.curated/lindy-migration-deep-dive in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/lindy-migration-deep-dive in your project. Claude Code loads it when a task matches its description.

How do I install Lindy Migration Deep Dive in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-migration-deep-dive -a codex`. Or copy the skill folder (skills/.curated/lindy-migration-deep-dive in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/lindy-migration-deep-dive in your project. Codex loads it when a task matches its description.

Can I use Lindy Migration Deep Dive 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 jeremylongshore/tons-of-skills-marketplace --skill lindy-migration-deep-dive -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lindy-migration-deep-dive, .gemini/skills/lindy-migration-deep-dive, .github/skills/lindy-migration-deep-dive and .opencode/skills/lindy-migration-deep-dive in your project.

What does Lindy Migration Deep Dive need to run?

Going by SKILL.md and its folder, Lindy Migration Deep Dive needs the command-line tools its instructions call (make). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(curl:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Lindy Migration Deep Dive access the network?

SKILL.md names 2 domains. As links in the text: docs.lindy.ai and lindy.ai. This is read from the text; nothing was executed.

Is Lindy Migration Deep Dive 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 Lindy Migration Deep Dive use?

Lindy Migration Deep Dive is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lindy Migration Deep Dive use?

About 2k tokens (SKILL.md is roughly 8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.2k tokens, read only when the agent opens those files.

What are the alternatives to Lindy Migration Deep Dive?

Skills that share tags, products or a category with Lindy Migration Deep Dive: Apify Integration Development (apify/agent-skills, 2.4k stars), N8n Agents (sickn33/agentic-awesome-skills, 47k stars), N8n (ericrisco/rsc-harness, 180 stars) and Zapier (ericrisco/rsc-harness, 180 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lindy Migration Deep Dive?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.