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releaseworks

The Releaseworks Agent Skill (skill name: releaseworks) connects a Lovable project to Releaseworks AIthe safety net behind every great Lovable build — and manages the integration end to end, both initial setup and ongoing use. Releaseworks gives a Lovable project four things; this skill wires up the parts that need project access:

  • Set up Backup + Monitoring — link the project for around-the-clock uptime Monitoring and deploy the rw-backup Supabase Edge function for vault-grade Backups (every version, row, and asset; export/restore; 30-day retention), in one task.
  • Send the codebase for App Health & Architecture — package the codebase and send it through the project's rw-sync Edge function (which holds the credentials and relays the upload), so the script needs no Releaseworks secret. Releaseworks then scans it for security/performance/readability issues (App Health) and maps how the app fits together (Architecture). Re-run any time to refresh both.
  • Remove — uninstall the integration (delete the function + secrets).

The skill is executed by the Lovable agent — Lovable has access to the project's Supabase, so it creates the function, sets secrets, and deploys. Releaseworks itself never touches the customer's database.

Setup flow

The user copies a short setup prompt from Releaseworks (Settings → Connect Lovable) that contains a link_token and tells Lovable to run this skill. Lovable then follows the Setup steps in SKILL.md:

  1. Collect the project's id / name / primary domain.
  2. POST /api/public/hooks/link-project → links the project and returns the backup credentials (source_id, token, public_key, callback_url, callback_token).
  3. Write supabase/functions/rw-backup/* from assets/rw-backup/.
  4. Set Supabase secrets RW_SOURCE_ID, RW_TOKEN, RW_PUBLIC_KEY.
  5. Deploy rw-backup with JWT verification disabled.
  6. POST the deployed URL to callback_url → Releaseworks records it and runs the first verification backup.

The only secret the user handles is the short-lived link_token. The per-source token flows machine-to-machine into Supabase secrets and is never committed.

Ongoing actions (sending code, removing the integration) are separate sections in SKILL.md and reuse the same per-project config.

What's in here

SKILL.md            the agent instructions (the skill itself)
scripts/            deterministic shell scripts for the HTTP API calls (curl + jq)
assets/rw-backup/   Edge function Releaseworks pulls backups from (verbatim)
assets/rw-sync/     Edge function that relays codebase uploads (verbatim)
reference/          vendored edge-function contract (the interface spec)
test/               conformance.sh — drift checks for the assets + SKILL.md

The HTTP calls the skill makes (linking the project, reporting the function URL) are encapsulated in scripts/ rather than free-form requests, so they behave identically every run: strict bash, JSON built/validated with jq, non-zero exit with the error on any HTTP failure. The scripts require curl and jq.

This repo owns the rw-backup Edge function source. The ai2p-backend repo owns the interfacereference/edge-function-contract.md is vendored from there. test/conformance.sh fails if the bundled function or SKILL.md drifts from the contract (canonical signing string, headers, DER→raw P-256 signatures, the three secret names, the ±300s window, the JWT guardrail).

Development

No toolchain — it's bash scripts, Deno Edge-function assets, and markdown. Run the drift checks with:

./test/conformance.sh

The assets/ files are Deno Edge-function code (they import from https://… and use Deno.*); they're shipped verbatim.

Delivery

Published as an installable Agent Skill (agentskills.io-style). If a host can't install skills yet, SKILL.md is written to double as a self-contained prompt: its steps are explicit enough to paste directly, with the Edge-function source fetched from this repo's assets/rw-backup/.

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Releaseworks.ai skill for Lovable

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