The Complete Lovable Skills Guide

1. What is a Lovable Skill

A Skill is a small, declarative package — instructions plus optional code and reference assets — that teaches Lovable how to do something it couldn't reliably do from general training alone: integrate a service end-to-end, run a domain-specific workflow, generate a specific artifact, or apply a project's house style. Where a normal prompt asks the agent to "figure it out", a Skill hands it a recipe written by someone who has shipped that exact thing before.

Skills are composable (a project can use dozens at once), portable (the same Skill works across projects), auditable (you can read every step before it runs), and versioned (breaking changes are explicit). If you're new to the concept, start with our shorter overview at Skills vs Knowledge, then come back here for the deep dive.

2. Why Skills exist

Large models are generalists. They're great at common patterns and weaker on anything that requires a non-obvious sequence — the right webhook signature, the right RLS policy, the right copy in a transactional email, the right way to wire Stripe's customer portal into a Supabase profile. Skills capture that specialist knowledge in a format the agent can pull in on demand, which means you stop re-explaining the same setup every time you start a new project.

The catalog at /skills exists for exactly this reason: it's a shared library of those recipes, browsable by category, and installable in one command.

3. How Skills are structured

Every Skill is a directory with a SKILL.md at the root and optional bundled files:

my-skill/
  SKILL.md              # name, description, when to use, steps
  scripts/
    do-the-thing.ts     # optional executable
  references/
    schema.example.ts   # small, focused snippets the agent can read
  templates/
    output.template.md  # optional reference assets

The frontmatter description is the single most important field — it's what the agent uses to decide whether the Skill applies to the current task. Write it for retrieval, not for marketing. Name the trigger ("when the user wants X"), not the feature.

4. Installing Skills

From the LovableSkills catalog, install a Skill with one command:

lovable add stripe-checkout

The Skill is added to your workspace; the agent surfaces it automatically when it matches the task. You can install several at once, mix community Skills with your own private ones, and roll back to a previous version if a new release misbehaves. For a curated set of "must install on day one" Skills, see Top 10 Lovable Skills of 2026 or, if you're building B2B software, Lovable Skills for SaaS.

5. Authoring your first Skill

1. Pick a narrow, repeatable task (one Skill = one job).
2. Write a sharp description that names the trigger ("when the user wants X").
3. List the steps the agent should take — referenced files, scripts, output format.
4. Ship it as a draft, iterate against real prompts, then publish.

The full walkthrough lives in How to Create a Lovable Skill — a 25-minute tutorial that takes you from empty folder to a published Skill in the catalog.

6. Skills vs Knowledge

Skills add capabilities; Knowledge adds context. Skills change what Lovable can do; Knowledge changes how it does it. They are complementary — most production projects use both. See the dedicated breakdown: Lovable Skills vs Knowledge.

7. Skills vs Claude Skills

Anthropic's Claude Skills share the name and the core idea, but live in a different surface area: they augment a Claude conversation, while Lovable Skills write code into your repo and ship features to production. The two are often complementary. Read the side-by-side: Claude Skills vs Lovable Skills.

8. Best practices

• One job per Skill. Don't bundle "checkout + emails + analytics".
• Be explicit about side effects. Does it write files? Hit a paid API? Migrate the database?
• Provide a clear when not to use. Prevents misfires.
• Version your contract. Semver-style bumps signal breaking changes to the agent.
• Test against real prompts, not against your imagined prompt.
• Keep references small. Big files dilute retrieval and waste tokens.
• Document required secrets up front so the agent can request them via the proper flow.

9. Anti-patterns to avoid

• The kitchen-sink Skill. If your description has the word "and" three times, split it.
• The unscoped description. "Helps with payments" matches everything and nothing.
• The frozen Skill. APIs change. A Skill you haven't updated in a year is a liability.
• Hard-coded secrets. Always go through the secrets flow.
• No examples. Even one realistic example dramatically improves first-shot quality.

10. Distribution & discoverability

Publishing to the LovableSkills catalog gives your Skill a permanent page, install command, version history, screenshots, and discoverability across the community. Submit yours at /submit. Good titles, sharp descriptions, and concrete examples are what move a Skill up the rankings — see how the current leaders do it on the 2026 top 10.

11. A note on AI capabilities

Skills that need an LLM should default to the bundled Lovable AI gateway rather than asking the user for an API key — it works zero-config across supported providers and keeps the install path frictionless. Reserve direct provider keys for cases where the Skill genuinely depends on a specific model feature.

12. Where to go next

• Top 10 Lovable Skills of 2026
• Skills curated for SaaS teams
• Step-by-step: build your first Skill
• Lovable Skills vs Claude Skills
• Lovable Skills vs Knowledge
• Browse the full catalog · By category · Latest articles