Volcengine Prepare

Use when the user wants to deploy a local directory or GitHub repository to Volcengine and needs the project analyzed, the app shape understood, and a ranked recommendation across ECS, VKE, and veFaaS before choosing an execution path. Also trigger when the user asks "what deploy mode should I use", "is this repo ready for Volcengine", or "check my repo before deploying". This skill prepares the decision; volcengine-deploy skill performs the chosen deployment, and volcengine-iac skill is used only when the user chooses Terraform/IaC or the task already has an IaC workflow.

sdk-team@volc-sdk-team

Install

openclaw skills install @volc-sdk-team/volcengine-prepare

Volcengine Prepare Skill

Analyze a repo, explain viable Volcengine deployment paths, and decide the resource management path. Treat this skill as decision support, not as a workflow engine. Do not make a heavy report schema the goal.

0. Core behavior

Default flow:

Resolve the repo from a local path or Git URL.
Run the analyzer to identify language, framework, port, Docker/compose shape, dependencies, migrations, entrypoint, and the deployable service surface.
Optionally verify the current Volcengine identity and region when credentials are available.
Present a ranked list of ECS / VKE / veFaaS only after a deployable service surface is clear. Include every materially viable path; explain why each path is attractive or costly. Use ecs | vke | vefaas as machine-readable mode values.
Recommend a resource management path (cli or iac) per references/deploy-mode-heuristics.md, and ask the user to confirm.
Ask only for product/lifecycle ambiguity, resource reuse, and the resource management choice. If the user says "you decide", use the first ranked runtime path, the recommended resource management path from these rules, and new isolated resources.
Persist only minimal state in .volcengine/ when the work will continue across steps.

Before ranking ECS / VKE / veFaaS, identify the concrete deploy target: the repo, subdirectory, command, artifact, static output, or existing cloud app/function that a path can actually run, containerize, expose, or serve. File-level signals are evidence, not conclusions. A Dockerfile, compose file, package.json, framework dependency, or build/dev/test script does not by itself prove the repo is deployable.

Do not run strict tool dependency checks during recommendation. Check path-specific tools only after the user chooses a path.

State directory:

text

.volcengine/
  deploy-choice.json       # chosen mode/resource strategy, when persistence is useful
  created-resources.json   # maintained by deploy only for CLI fast path
  terraform/               # IaC working files, only when infra_management=iac
  iac-outputs.json         # Terraform outputs consumed by deploy

Use /tmp only for temporary clones or caches.

1. Resolve and analyze the repo

For Git URLs, clone to a temporary cache. For local paths, analyze in place.

bash

input="${1:-.}"
if [[ "$input" =~ ^(https?|git@) ]]; then
  repo_name=$(basename "$input" .git)
  cache_dir="/tmp/volcengine-prepare/$repo_name"
  mkdir -p "$cache_dir"
  [ -d "$cache_dir/src/.git" ] || git clone --depth 1 "$input" "$cache_dir/src"
  repo_dir="$cache_dir/src"
else
  repo_dir=$(cd "$input" && pwd)
  repo_name=$(basename "$repo_dir")
fi
git_sha=$(cd "$repo_dir" && git rev-parse --short HEAD 2>/dev/null || echo "unversioned")

Run:

bash

analysis=$(bash scripts/analyze-repo.sh "$repo_dir")
echo "$analysis" | jq .

Show the important findings in plain language:

text

Project: <repo_name> @ <git_sha>
Runtime: <language> / <framework>
Deployable subdir: <deploy_subdir or repo root>
Deployable surface: <web service | rpc service | http api | static/html site | full-stack app | user-specified service | unclear>
Entrypoint: <entrypoint>
Port: <port>
Packaging signals: Dockerfile=<yes/no>, compose=<yes/no if detected>
Dependencies: <mysql, redis, ...>
Migrations: <paths or none>

If the analyzer cannot identify a concrete ECS/VKE/veFaaS deploy target, ask what subdirectory, service, command, artifact, static output, or existing veFaaS app/function should be deployed before recommending a path. Downgrade to confirmation instead of a strong recommendation when the repo appears to be primarily build tooling, packaging, examples, docs, or reusable code rather than an application surface.

A deploy target is something that can be run, containerized, exposed, or served by ECS, VKE, or veFaaS. Useful evidence includes, but is not limited to:

a long-running process with a start command,
a listening port or RPC/API/HTTP route,
a static/HTML site entry or build output intended for serving,
a health check or smoke endpoint,
frontend and backend/API pieces with a clear service boundary,
an explicit user instruction naming the service, subdirectory, command, artifact, or runtime target.

Do not infer deployability from a Dockerfile, package scripts, or build tooling alone.

2. Optional cloud identity check

If VOLCENGINE_ACCESS_KEY, VOLCENGINE_SECRET_KEY, and VOLCENGINE_REGION are set, verify identity:

bash

ve sts GetCallerIdentity

Do not read ~/.volcengine/config.json; it may contain secrets. If env vars are absent, keep the recommendation going and tell the user credential checks will happen when executing the chosen path.

If cloud service availability matters for a near-term choice, run the read-only probe:

bash

services=$(bash scripts/check-region-services.sh)
echo "$services" | jq .

Surface permission or region notes in the corresponding option; do not hide that option.

Prechecks are advisory, not gates. If you can cheaply check quotas or permissions, present the result as a risk:

text

<quota/permission> may be insufficient; continuing could fail when creating resources. Proceed anyway?

If account real-name verification or balance cannot be queried reliably, give a short reminder instead of inventing a check:

text

Creating cloud resources may require a real-name-verified account with sufficient balance/credit; if creation fails, resolve the account status in the console first.

3. Recommend deployment paths

Use references/deploy-mode-heuristics.md for the detailed decision rules. Present a ranked list, not recommended=true/false flags or scoring internals. If the deployable surface is unclear, present the ambiguity first and ask the smallest follow-up question before ranking.

Include every materially viable option; do not force a full ECS / VKE / veFaaS comparison when the repo or user request clearly rules a path out. Mention a non-viable path only when its exclusion helps the user decide.

ECS: VM path. Best for targets that can run on a Linux VM, such as Web/API/RPC services, full-stack apps, static-site serving processes, binaries, Docker/compose apps, workers, scheduled commands, or apps needing OS/network/disk/debugging control.
VKE: Container/Kubernetes path. Best for containerized or Kubernetes-shaped targets, such as multi-service apps, Web/API/RPC containers, workers, Jobs/CronJobs, rolling updates, replicas, HPA, Ingress/Service, GPU workloads, or production container operations.
veFaaS: Serverless path. Best only when the target fits the volcengine-vefaas skill workflow: supported Web/API or frontend/static frameworks, or an existing veFaaS app/function. Prefer ECS/VKE for long-running workers, multi-service orchestration, complex migrations, unsupported event/task/trigger creation, custom system dependencies, or no available API Gateway. If the user chooses it, switch to/call the volcengine-vefaas skill for deployment; if that fails, return to the main flow so the user can retry or choose ECS/VKE.

Include:

why it is ranked where it is
rough cost level (low, medium, medium-high)
operational tradeoffs
known blockers or setup needed if the user chooses it
resource management recommendation (iac or cli) and why

Do not check every tool before the user chooses. Phrase setup needs as decision guidance. Fill the resource management recommendation from references/deploy-mode-heuristics.md, but do not mention that internal reference path to the user:

text

Resource management recommendation: <iac|cli>. Reason: <one short user-facing reason>. Confirm `iac` or `cli`.
Choosing VKE will check kubectl; if you choose IaC it will also check terraform/provider availability.
Choosing veFaaS switches to / calls the `volcengine-vefaas` skill to check the vefaas CLI, login status, and framework detection; on failure it returns here so you can fix it and retry, or switch to ECS/VKE.

4. Ask only necessary questions

After showing the ranked list, ask only what cannot be safely inferred:

text

1. Deployment mode: defaults to the top-ranked option. Choose ECS / VKE / veFaaS (recorded as `ecs` / `vke` / `vefaas`).
2. Resource strategy: defaults to a new isolated project deploy-<repo> with new resources; you may also reuse existing resources.
3. Database product/engine, only when a managed database is detected or requested: choose `rds/mysql`, `rds/postgresql`, `rds/sqlserver`, `aidap/supabase`, or `aidap/postgresql`.
4. Resource management: recommend <cli|iac>; confirm whether to use the CLI resource ledger or Terraform/IaC.

For MySQL dependencies, use database_product=rds and database_engine=mysql unless the user rejects managed RDS. For SQL Server dependencies, use database_product=rds and database_engine=sqlserver. For PostgreSQL dependencies, preserve explicit user intent first: choose RDS PostgreSQL for an explicit RDS / managed RDS instance request, choose AIDAP PostgreSQL for an explicit AIDAP/serverless PostgreSQL request, and choose AIDAP Supabase for an explicit Supabase request. When the product is ambiguous and the user has not delegated the choice, ask because RDS PostgreSQL, AIDAP PostgreSQL, and AIDAP Supabase are different choices.

Ask whether to use Terraform/IaC explicitly. Give a recommendation per references/deploy-mode-heuristics.md, but do not turn it into a default. Ask the user to confirm iac or cli.

If the user says "you decide", use:

deployment mode: first ranked option
resources: create new isolated Volcengine project deploy-<repo>
database product/engine: infer exact engines when unambiguous (mysql -> rds/mysql, sqlserver -> rds/sqlserver); for PostgreSQL, choose AIDAP Supabase (database_product=aidap, database_engine=supabase) when the project has no explicit RDS/AIDAP PostgreSQL/Supabase signal.
resource management: apply references/deploy-mode-heuristics.md

If the user chooses reuse, ask for only the resource IDs needed by that path. Reused resources must not be destroyed by cleanup.

5. Persist the user's choice only when useful

If execution continues in the same conversation, no file is required. If the user may resume later or the next step needs a durable handoff, write only a small choice record:

json

{
  "schema_version": "1",
  "repo_dir": "/absolute/path",
  "repo_name": "my-app",
  "git_sha": "abc1234",
  "region": "cn-beijing",
  "mode": "ecs",
  "port": 8080,
  "dependencies": ["postgresql", "redis"],
  "database_product": "aidap",
  "database_engine": "supabase",
  "resource_strategy": "create-isolated-project",
  "project": "deploy-my-app",
  "infra_management": "cli"
}

Write it to .volcengine/deploy-choice.json.

Do not write score tables, rationale arrays, or a full recommendation matrix unless the user asks for a report.

6. Summary template

text

Project detection:
- Runtime: <language>/<framework>
- Deployable surface: <surface or unclear, with evidence>
- Entrypoint/port: <entrypoint> / <port>
- Packaging signals: Dockerfile=<yes/no>, Compose=<yes/no>
- Dependencies: <deps or none>
- Database choice: <none | database_product=rds engine=mysql|postgresql|sqlserver | database_product=aidap engine=supabase|postgresql>
- Migrations: <paths or none>
- Resource management recommendation: <iac|cli>

Ranked order:
1. <mode>
   Reason: ...
   Tradeoff: ...
   Rough cost: ...

2. <mode>
   ...

3. <mode>
   ...

Please confirm:
1. Deployment mode: defaults to <first mode>
2. Resource strategy: defaults to a new isolated project deploy-<repo>; reuse is also possible
3. Resource management: recommend <iac|cli>; confirm `iac` or `cli`

Volcengine Prepare

Install

Volcengine Prepare Skill

0. Core behavior

1. Resolve and analyze the repo

2. Optional cloud identity check

3. Recommend deployment paths

4. Ask only necessary questions

5. Persist the user's choice only when useful

6. Summary template

Related skills