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Manage InstaCloud infrastructure, deployments, isolated branch environments, services, and scheduled HTTP jobs.
Operate InstaCloud infrastructure with the `insta` CLI: create projects, add postgres/storage/compute services, deploy apps, create disposable branch environments (isolated DB + storage + compute per branch), schedule recurring HTTP calls (cron jobs) against a service or an external URL, bind service credentials into compute env, wire user secrets into `.env`, run multiple agents each in their own branch, handle governance approvals, check metrics/logs/usage, and promote branches to main. Use this skill when working in an InstaCloud-managed project (a `.insta/` dir or the `insta` CLI), when the user mentions InstaCloud or insta, AND when they ask to deploy an app, need a database/backend/object storage, want a scheduled or recurring task, want preview or per-agent sandbox environments, want branchable infrastructure, want to migrate an existing app in from Heroku / Railway / Fly / Render, or mention agent setup or MCP — even if they don't say "InstaCloud" explicitly. Also covers the insta-cloud remote MCP server (insta_* tools) and the self-hosted insta-oss runtime (same CLI, local daemon).
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Original instructions from the publisher’s SKILL.md
# InstaCloud
## Agent execution mode (managed Platform)
`agent policy` is the only policy system. Humans use normal RBAC; only agent requests enter the
policy evaluator. The former `policy` command and approval `--always` flag have been removed.
Always use `insta --agent <command> …` when invoking the CLI as an agent, including setup and
read-only commands. Examples include the global flag explicitly; with npx, use
`npx -y insta@latest --agent <command> …`. Do not rely on environment detection alone.
Commands explicitly marked for a human admin are relay instructions, not agent tool calls:
never execute them yourself or remove `--agent` to bypass a restriction.
First run `insta --agent agent setup` in the linked project (or `--project <id>` / `--create <name>`).
This stores a project-bound, 24-hour session in `.insta/agent-session.json`, automatically ignored
by Git. It supplements the existing user login. Missing, expired, revoked or wrong-project sessions
fail with setup guidance; never retry a rejected agent request without `--agent`.
Known Codex/Claude Code/Cursor environments also activate agent mode; generic CI or lack of TTY
does not. MCP tool calls are automatically agent requests. Inspect `insta --agent agent policy get
--json` for the current mode and protected branches. All projects initially use `full_access`.
In `branch_specific` (and `customize`, which is the same mode carrying explicit rules),
protected writes are denied; risky unprotected operations require human
approval. Forward the approval command to a human admin and retry the unchanged original request
only after approval; agents cannot approve their own requests. Details and SQL limitations:
[governance.md](references/governance.md). This protocol requires the managed Platform version that
supports agent sessions; older/OSS endpoints do not implement it, and session errors are not a
reason to silently switch execution identity.
InstaCloud provisions and governs a project's cloud services behind one CLI and one credential
seam. The `insta` CLI talks **only** to the InstaCloud control plane — you never configure a cloud
backend directly. A project can have any number of **services**, added on demand. The common service
types you build directly against are:
- **postgres** — relational DB born at its plan's resource ceiling (move it within the free cap on
any plan with `insta --agent postgres limits`; above the free cap needs a paid plan). Plain Postgres: connect any driver/ORM directly with the `DATABASE_URL`
you bind into compute env (below) — no vendor SDK or vendor skill. The DB is also publicly
dialable from outside compute: `insta --agent postgres url` prints the connection string and
`insta --agent postgres connect` opens a psql session — that's how you (or a human) reach it from a laptop,
a migration script, or any external tool. It scales to zero when
idle, so keep your pool's `idleTimeoutMillis` under the suspend window (see
[frameworks.md](references/frameworks.md)).
- **storage** — S3-compatible object/blob storage. Point any S3 library at the bound `AWS_*` /
`BUCKET_NAME` env — no vendor SDK. Set the endpoint explicitly or the client talks to real AWS;
each branch normally gets its own forked bucket (legacy pre-snapshot projects share one — see
below). See [storage.md](references/storage.md).
- **compute** — your container(s) at a public URL. A project can have several compute services
(e.g. `api`, `worker`).
- **redis/mysql/mongodb** — managed Fly-backed data services. They expose connection env names such
as `REDIS_URL`, `MYSQL_URL`, and `MONGODB_URL`.
**A new project starts empty** — no services are created automatically. Add what you need:
`insta --agent service add postgres <name>`, `insta --agent service add compute <name>`,
`insta --agent service add storage <name>`, `insta --agent service add redis <name>`, etc. A project may have
**multiple services of every type** (up to 5 per type). Provider credentials are scoped to the
service that minted them and use canonical names inside that scope (`DATABASE_URL`, `REDIS_URL`,
`MYSQL_URL`, `MONGODB_URL`, `AWS_ACCESS_KEY_ID`, `BUCKET_NAME`, …). The **local-dev seam**
(`insta --agent secrets` → `.env`, `insta --agent run`) carries one set per type, from that type's
**primary** service on the branch — but they do **not** automatically appear in **compute env**: a
container gets a provider credential only through an explicit binding, and a non-primary same-type
service is not in the bundle: for **postgres** read it with `insta --agent postgres url <name>`;
for every other type there is no direct read at all — bind it, or read the env of a compute service
it is bound to with `insta --agent secrets --service compute/<name>`. Bind
the credentials a compute service needs,
then deploy — or, if the service is already running, `insta --agent compute restart` (CLI ≥ 0.0.51) to pick
the binding up without deploying a new one. It re-runs the image *reference* already recorded, so a
service on a moving tag (`app:latest`) still gets whatever that tag resolves to now — see
[operate.md](references/operate.md) before using it on production:
```bash
insta --agent secrets sources # what's available to bind (--branch <b> targets another branch)
insta --agent secrets bind DATABASE_URL postgres/db --to compute/app
insta --agent secrets bind REDIS_URL redis/cache --source-name REDIS_URL --to compute/app
insta --agent secrets bind MYSQL_URL mysql/orders --source-name MYSQL_URL --to compute/app
insta --agent secrets bind MONGODB_URL mongodb/catalog --source-name MONGODB_URL --to compute/app
insta --agent deploy . --group app --port 8080
```
Binding is for **compute env** only. To use a credential yourself — run migrations, inspect data,
point a local tool at the DB — read the value directly: `insta --agent postgres url` (postgres connection
string; `insta --agent postgres connect` for a psql shell).
Use `insta --agent service rename <type> <name> <new-name>` to rename a service; existing bindings keep
pointing at that service.
## Install & upgrade the CLI
If `command -v insta` finds nothing, install it (never assume it's present):
```bash
curl -fsSL https://raw.githubusercontent.com/InsForge/insta-cli/main/install.sh | sh # native binary, no Node
npm install -g insta # npm alternative
npx insta@latest --agent <cmd> # one-shot, always newest (slow per call)
```
The CLI is pre-1.0 and ships often. If a command misbehaves or is unrecognized, **update first**:
`insta --agent upgrade` (CLIs that have it; auto-update is on by default pre-1.0 — `insta --agent config autoupdate off`
to disable), else re-run the installer (idempotent) or `npm update -g insta`.
## Two targets, one CLI
The same commands drive both. Resolve which one you're on from `insta --agent status` (`api:` line):
- **InstaCloud (managed cloud)** — requires `insta --agent login` (agents: `--email/--password` or an API
token; humans: bare `insta --agent login` opens the console sign-in/approval page in the browser — any
account type; headless machine with a human reachable elsewhere: `--device` prints a link + code
they approve from any other browser).
- **insta-oss (self-hosted local daemon)** — `INSTA_API_URL=http://127.0.0.1:8080` (its default).
**No login exists or is needed** (localhost trust, builtin `local` user); billing/usage/metrics
return clear "cloud-only" errors — don't retry them.
## Tool routing: CLI vs MCP
InstaCloud has two agent-facing operation paths. **This skill + the CLI is the default for
everything** — the CLI covers the full command surface (bar a few MCP-only read-only
diagnostics, listed in mcp.md), carries linked-repo context
(`.insta/project.json`), and is the only path for local machine state: auth (`insta --agent login`),
pulling secret **values** (`insta --agent secrets` / `insta --agent run`, and the postgres DSN via
`insta --agent postgres url` / `insta --agent postgres connect`), source-directory deploys (`insta --agent deploy <dir>`), and the
observe hook.
Fall back to the **remote MCP tools** (`insta_*`) only when the CLI can't be invoked: no shell
(hosted agents like Claude.ai / ChatGPT connectors), or the CLI isn't installed and can't be
(the common case is fixable with no CLI on PATH: `npx -y insta@latest --agent agent setup -y`
self-installs it — see self-heal below). Same platform API, same governance gates, same audit
trail — but MCP tools take **explicit `projectId`/`branch` args**: never assume the CLI's linked
context carries over; resolve IDs first (`insta_project_list`) and pass them explicitly. Full
mapping + connection guide: **[mcp.md](references/mcp.md)**.
**Self-heal:** if the insta skill or the `insta_*` MCP tools are expected but missing, run
`insta --agent agent setup -y` (installs the skill + registers MCP for Claude Code and every detected
agent), then tell the user to **restart their coding tool** — a running session never picks up
newly registered MCP servers or tools. One specific agent: `insta --agent config install-mcp --agent <slug>`.
Registration alone does not authenticate the client; actual tool use requires a completed OAuth
flow or an authorized credential. The `--mcp-token` option requires token-creation permission;
an agent denied with `403 unclassified_agent_action` must stop that attempt, not retry as human.
For unattended authentication, read [mcp.md](references/mcp.md#connecting).
## Intent-based routing
Route by intent before running preflight ceremony:
**"Ship / deploy this app" (from zero):** don't interrogate state first — run the chain and
announce it: `insta --agent status` (logged in? linked?) → if unauthenticated on cloud, `insta --agent login` → if
unlinked, `insta --agent project create <dir-name>` → `insta --agent service add postgres db` (if the app needs a
DB) + `insta --agent service add compute app` → bind needed service credentials into compute
(`insta --agent secrets sources`, then `insta --agent secrets bind DATABASE_URL postgres/db --to compute/app`) →
`insta --agent deploy . --port <the port the app listens on>` → **verify the printed URL serves** (below).
The app reads `process.env` creds.
**"Set up / onboard / sign up":** cloud → `insta --agent login` (browser sign-in; relay the printed link
if no browser opens) or `--email/--password`; then `insta --agent project create`. Local/oss → nothing to set up beyond the daemon.
**A unit of work on an existing project (feature, fix, experiment, agent task):** one branch per
unit of work — see the core principle below and **[branching.md](references/branching.md)**.
Never develop on `main`.
**Anything else (configure, debug, inspect):** light preflight, then the matching reference below.
## Preflight & context (before mutations)
```bash
command -v insta # installed? (else: Install section)
insta --agent status --json # target api, login, linked project, current branch
```
Skip this ceremony for the ship-from-zero chain above — `status` is its first step already.
**Context rules (multi-agent safety):**
- The link (`./.insta/project.json`) is **per directory** and includes the current branch.
- **Prefer explicit `--branch <name>`** on commands that accept it (`secrets`, `deploy`, `<type> metrics`,
`<type> logs`, `agent events`, `postgres url` / `postgres connect` — a wrong-branch DSN means querying the wrong
database) over `insta --agent branch switch` when acting on a branch you don't own — `switch`
mutates the shared per-directory link and races parallel agents in the same checkout.
- For parallel agents, the rule is **1:1:1 — task ↔ git worktree ↔ insta branch** (each worktree has
its own link, so `switch` is safe there). See [branching.md](references/branching.md).
## Core principle
**One unit of work = one branch = one isolated environment.** `insta --agent branch create <name>`
materializes the **parent branch's** current services onto the new branch — a CoW database branch
(copy of the parent's data), a CoW-forked storage bucket, and a clone of every compute service (own
URL each), created **at branch-create**, so a branch is a complete runnable environment from the
start.
Branches run fully in parallel; nothing one does touches another. **≤10 branches per project (hard
limit).** Don't develop on `main`; don't pile multiple features on one branch.
**Multiple independent features (or agent tasks) at once?** Give each its own branch **and its own
subagent** — isolated DB + storage + compute + URLs mean zero collision. See
**[branching.md](references/branching.md) → Parallel agents**.
## Verify before reporting (deploys)
**Never report a deploy as successful from the command exiting alone.** `insta --agent deploy` prints the
branch URL on success — that means the platform accepted and rolled the machine, not that the app
serves:
1. Poll the printed URL (`curl -s -o /dev/null -w '%{http_code}'`) every ~3s for up to ~60s.
A scale-to-zero service (created with `--no-always-on`, or switched off with `insta --agent compute
always-on off`) cold-starts on the first request — allow a slow first hit. New compute services
are born always-on (since 2026-09-07) and skip this; see references/operate.md.
2. `200` (or the app's expected status) → deployed; report the URL.
3. Still failing → the ordered triage list in [operate.md](references/operate.md) (port mismatch
and migration-gated startup account for most failures).
4. Report the exact failing state — never claim success you didn't observe.
## Approval relay (CRITICAL — gated actions)
Sensitive actions are gated at the credential boundary (`secrets.read`, `secrets.write`, `deploy`,
`project.delete`, `branch.delete`, `service.add/remove/scale/upgrade`, `domain.purchase`,
`domain.delegate`, `zone.delegate`; policy per action: allow/deny/approve, using the project's agent policy). When a command returns
**"approval required" with an approval id**:
- **Relay it to the human immediately and verbatim** — the exact line to run:
`insta agent approvals approve <id>` in a human terminal. Approvals authorize only one exact request.
Don't summarize it away, don't retry the command, and don't report the task as failed without
surfacing the approval first. Only an **admin** can approve.
- Grants are **single-use**: after approval, **re-run the original command**; the next occurrence
prompts again unless a human explicitly changes the applicable `agent policy` rule.
- **Never work around a gate** (e.g. by hand-editing state or bypassing the CLI) — the gate is the
product's safety model. A `deny` policy is a hard no: report it, don't circumvent it.
## Common quick operations
```bash
insta --agent status --json # target, login, link, current branch
insta --agent agent manifest --json # agent-legible env view: every branch's services + URLs
insta --agent service list --json # what exists on this project
insta --agent run -- <cmd> # run with the branch bundle injected (NOTHING on disk; --branch <b>)
insta --agent run --service compute/app -- <cmd> # one service's own env — needed when several define the same name
insta --agent run --ignore-collisions -- <cmd> # run anyway; every colliding name is REMOVED from the child env
insta --agent secrets --print # the branch's secrets (--branch <b>, --service <compute/name>)
insta --agent secrets sources --json # provider credential sources available to bind
insta --agent secrets bind DATABASE_URL postgres/db --to compute/app
insta --agent secrets bindings --target compute/app --json
insta --agent secrets set NAME value # user config (project-wide; --branch for overrides)
insta --agent build . --port 8080 # local pre-deploy build/readiness check
insta --agent deploy . --port 8080 # remote build (Dockerfile, or nixpacks on insta-compute) + deploy to the current branch
insta --agent deploy --image <ref> --port 8080 # prebuilt image instead
insta --agent compute connect-repo owner/repo app # cloud-only; guides GitHub authorization and App access, then connects; or --public
insta --agent compute exec app -- printenv PORT # one-shot command on live compute (no shell/stdin)
insta compute ssh app --setup # HUMANS ONLY: interactive shell via `ssh app.insta` (API keys refused; agents use `compute exec`)
insta --agent compute volume app --size 1Gi # attach/grow persistent /data; mounts on next deploy or `compute restart`
insta --agent branch create feat && insta --agent branch list --json
insta --agent compute logs --limit 100 --json # runtime logs (--branch <b>; also <postgres|redis|mysql|mongodb>; postgres is provider-limited)
insta --agent compute logs --since 2h --json # time window (--from/--to too) — a windowless read is ONE page (~100 lines)
insta --agent compute metrics --json # service metrics (also <postgres|redis|mysql|mongodb>)
insta --agent agent events --limit 50 --json # audit + agent-event timeline
insta --agent billing usage --json # cloud only (insta --agent billing --json likewise)
insta --agent agent approvals list --status pending # outstanding gates
```
Use `--json` wherever you parse output.
## Routing
For anything beyond the quick operations, load the reference that matches the intent — one is
usually enough, two at most:
| Intent | Reference | Covers |
| --- | --- | --- |
| Create or connect things ("set up", "new project", "add a database/compute") | [setup.md](references/setup.md) | CLI install/upgrade, cloud vs oss target, auth, project, services, ship-from-zero |
| Run something on a schedule ("every night", "cron job", "recurring task", "run this hourly") | [cli-reference.md](cli-reference.md#cron) | the `insta --agent cron` commands, UTC-only expressions, service vs external targets (the platform allows any service in the org; the CLI reaches the current branch's), the run-id idempotency contract, that an edit REPLACES the request rather than merging it, and what each run status means |
| Ship code or manage releases | [deploy.md](references/deploy.md) · framework recipes: [frameworks.md](references/frameworks.md) | image vs source (remote build), `--port` semantics, explicit service credential binding, secrets at runtime, verify procedure, Dockerfile templates, custom domains (a bought domain's apex serves via `insta --agent domain delegate`) |
| Migrate an existing app in ("migrate my Render/Railway service to InstaCloud", "move off Heroku/Railway/Fly/Render", "import my app", "bring my app over") | [migrate.md](references/migrate.md) **plus** the one source file you need from `references/migrate/` (`render.md`, `railway.md`, `fly.md`, `insforge.md`) | the ordered cutover with pass conditions and its rollback boundary, the InstaCloud-side semantics that bite (a binding needs a deploy, no bulk env import, cron is HTTP-not-command, workers), command + addon mapping, per-source (each source now has its own file, read alongside migrate.md not instead of it) deltas |
| Branch environments, parallel agents, promotion ("preview env", "sandbox per task", "merge to main") | [branching.md](references/branching.md) | **the data-forking env model** (what actually clones), branch loop, 1:1:1 worktree pattern + dispatch brief, promotion, migration discipline |
| Approvals, policy, audit, credential scanning | [governance.md](references/governance.md) | gates catalog, the approval relay, events timeline, observe hook, agent audit patterns |
| Check health or debug failures | [operate.md](references/operate.md) | status/manifest triage, ordered deploy-failure list, metrics/logs, cloud-vs-oss differences |
| Command lookup | [cli-reference.md](cli-reference.md) | the full CLI catalog with flags and gates |
| Remote MCP tools ("connect a connector", `insta_*` tools available) | [mcp.md](references/mcp.md) | connecting clients, tool ↔ CLI mapping, what stays CLI-only |
| InstaCloud itself got in your way (bug, stale doc, missing feature, friction) | [cli-reference.md → Feedback](cli-reference.md#feedback) | `insta --agent feedback` / `insta_feedback`: when to file, situation → type mapping |
If a request spans two areas ("deploy and check it's healthy"), load both and answer once.
## Two non-negotiables (wherever you are)
- **Prefer `insta --agent run -- <cmd>`** for anything that needs the branch's secrets — the bundle is fetched per
invocation and injected into the child environment only; nothing is written to disk, so nothing can
leak or be committed. The bundle also carries the branch's **canonical** provider credentials —
one set per type, from that type's primary service — so a local run reaches the database without
binding anything. What a **compute service** receives is separate: bind with
`insta --agent secrets bind`, then deploy (or `insta --agent compute restart` an already-running
service, CLI ≥ 0.0.51 — a binding change never reaches a live machine on its own).
**`run` REFUSES and exits 2 when several services define the same name** (CLI ≥ 0.0.65): nothing
is spawned, and the names plus both ways forward print to stderr. Do not retry it as a transient
failure — re-run with `--service <type>/<name>` for that service's env, or
`--ignore-collisions` to proceed with those names removed from the child environment. Exit 2 is
also the approval code, so read the stderr message to tell them apart.
- When a file is genuinely needed, treat `./.env` (from `insta --agent secrets`; auto-gitignored in git
repos) as the **only** file-based source for secrets — it holds your user secrets and the
branch's primary provider credentials — never hardcode or print secret
values. `DATABASE_URL`, `AWS_*` / `BUCKET_NAME`, `REDIS_*`, `MYSQL_*`, and `MONGODB_*` are service
credentials that reach production compute only through explicit `insta --agent secrets bind` rules. For
direct use **outside** compute the sanctioned read is `insta --agent postgres url` / `insta --agent postgres connect`
(postgres; gated `secrets.read`) — pipe it (`psql "$(insta --agent postgres url)"`), never paste the DSN into
files or code. For every type, the branch's **primary** service's credentials are already in
`insta --agent secrets` / `insta --agent run`. A **non-primary** service is not in the bundle:
postgres has the `[service]` positional read above (`insta --agent postgres url <name>`), and **no other type has any direct read** — bind it,
or read that service's own env with `insta --agent secrets --service compute/<name>`.
User-set config belongs in `insta --agent secrets set <NAME>` (project-wide) / `--branch` for branch
overrides — never hand-edit `.env` values you want to persist.
- Track **every** schema change as a file under `migrations/` so it replays on a branch DB and again
on `main` after a merge. **InstaCloud never merges databases — only migration files carry schema forward.**
Migrations run where the DB credentials are bound: on the compute service, via
`insta --agent compute exec app -- <migrate-cmd>` (never as a startup gate — see
[deploy.md](references/deploy.md)); or directly, with no compute involved:
`psql "$(insta --agent postgres url --branch <b>)" -f migrations/<file>.sql` (explicit `--branch` — the bare
form reads the linked branch's DB). Match `psql` / `pg_dump` / `pg_restore` to the server's
Postgres major first — `pg_version` on `insta --agent service list --json --branch <b>` (same branch as
the DSN); if the row has none, read the exact version instead (see
[operate.md](references/operate.md)).
## Governance & audit (this is the platform's core differentiator)
The gate mechanics and the relay procedure are above; the observe credential-audit hook, the events
timeline, and agent audit patterns are in [governance.md](references/governance.md).
**Billing is by actual app usage** (vCPU·min / RAM GB·min actually consumed + storage + egress —
not machine size × hours). New compute services are born always-on (since 2026-09-07): no cold
starts, and the idle app's resident RAM bills at actual usage. Scale-to-zero (`--no-always-on` at
create, or `insta --agent compute always-on off`) makes an idle service cost nearly nothing at the price of
a cold start; postgres is unchanged (`insta --agent postgres always-on`, off by default) — see
[operate.md](references/operate.md). **The paid levers are the resource CEILING** (`insta --agent compute limits`,
`insta --agent postgres limits` — per-machine size, see [operate.md](references/operate.md))
**and machine COUNT** (`insta --agent compute scale` — horizontal): a new service is born at its plan's
ceiling and free plans may move within the free cap but not above it, and stay at one machine —
beyond either is a 403 — `insta --agent billing subscribe` first; `insta --agent billing usage` /
`insta --agent billing` show cycle usage and cost. One free org per user. Full flags in
[cli-reference.md](cli-reference.md).
## When InstaCloud itself gets in your way (feedback)
If you hit a hurdle that is **InstaCloud's fault** — a command that violates its documented
contract, skill/doc text that doesn't match reality, a missing capability, confusing UX — report
it with `insta --agent feedback` (or the `insta_feedback` MCP tool), **then continue the user's task with
a workaround**. Never block on the report, and **never file feedback for problems in the app the
user is building** — this channel is only for the InstaCloud toolkit
(`--component cli|mcp|platform|skills|docs`). Full flags and the situation → type mapping:
[cli-reference.md → Feedback](cli-reference.md#feedback).
## Response format
For operational work, report: **what was done** (action + scope: project/branch/service), **the
result** (URLs, IDs, observed status — not assumed), and **what's next** (or that it's complete).
Include command output only where it helps.