terraform-skill
Operational traps for Terraform provisioners, multi-environment isolation, and zero-to-deployment reliability. Use when writing null_resource / remote-exec / local-exec / file provisioners, setting up fresh instances with cloud-init, or any IaC code that SSHs into remote hosts; when creating multi-environment Terraform setups (DNS record duplication, snapshot cross-contamination); or when debugging containers that are Restarting/unhealthy after terraform apply. Also when the user mentions terraform plan/apply errors, provisioner failures, infrastructure drift, TLS certificate errors, Cloudflare credential format, or Caddy/gateway / Caddyfile / compose configuration.
What this skill does
# Terraform Operational Traps
Failure patterns from real deployments. Every item caused an incident. Organized as: **exact error → root cause → copy-paste fix**.
## Provisioner traps (symptom → fix)
### `docker: not found` in remote-exec
cloud-init still installing Docker when provisioner SSHs in.
```hcl
provisioner "remote-exec" {
inline = [
"cloud-init status --wait || true",
"which docker || { echo 'FATAL: Docker not ready'; exit 1; }",
]
}
```
### `rsync: connection unexpectedly closed` in local-exec
Terraform holds its SSH connection open; local-exec rsync opens a second one that gets rejected. Never use local-exec for file transfer to remote. Use tarball + file provisioner:
```hcl
provisioner "local-exec" {
command = "tar czf /tmp/src.tar.gz --exclude=node_modules --exclude=.git -C ${path.module}/../../.. myproject"
}
provisioner "file" {
source = "/tmp/src.tar.gz"
destination = "/tmp/src.tar.gz"
}
provisioner "remote-exec" {
inline = ["tar xzf /tmp/src.tar.gz -C /data/ && rm -f /tmp/src.tar.gz"]
}
```
macOS BSD tar: `--exclude` must come BEFORE the source argument.
### `cloud-init status` shows "running" forever
`apt-get -y` does not suppress debconf dialogs. Packages like `iptables-persistent` block on TTY prompts.
```yaml
- |
echo iptables-persistent iptables-persistent/autosave_v4 boolean true | debconf-set-selections
echo iptables-persistent iptables-persistent/autosave_v6 boolean true | debconf-set-selections
DEBIAN_FRONTEND=noninteractive apt-get install -y iptables-persistent
```
Known offenders: `iptables-persistent`, `postfix`, `mysql-server`, `wireshark-common`.
### `EACCES: permission denied` in container logs, container Restarting
Host volume dirs are root-owned; container runs as non-root (uid 1001). Fix before `docker compose up`:
```bash
mkdir -p /data/myapp/data /data/myapp/logs
chown -R 1001:1001 /data/myapp/data /data/myapp/logs
```
Find UID: grep `adduser.*-u` or `USER` in Dockerfile.
### Provisioner fails but no diagnostic output
`set -e` exits on first error, hiding subsequent `docker logs` output. Use `set -u` without `-e`, put one verification gate at the end:
```hcl
provisioner "remote-exec" {
inline = [
"set -u",
"docker compose up -d",
"sleep 15",
"docker logs myapp --tail 20 2>&1 || true",
"docker ps --format 'table {{.Names}}\\t{{.Status}}' || true",
"docker ps --filter name=myapp --format '{{.Status}}' | grep -q healthy || exit 1",
]
}
```
### Container `Restarting` — database tables missing
DB migrations not in provisioner. PostgreSQL `docker-entrypoint-initdb.d` only runs on empty data dir. Explicitly create DB + run migrations:
```bash
# After postgres healthy:
docker exec pg psql -U postgres -tc "SELECT 1 FROM pg_database WHERE datname='mydb'" | grep -q 1 \
|| docker exec pg psql -U postgres -c "CREATE DATABASE mydb;"
# Idempotent migrations:
for f in migrations/*.sql; do
VER=$(basename $f)
APPLIED=$($PSQL -tAc "SELECT 1 FROM schema_migrations WHERE version='$VER'" | tr -d ' ')
[ "$APPLIED" = "1" ] && continue
{ echo 'BEGIN;'; cat $f; echo 'COMMIT;'; } | $PSQL
$PSQL -tAc "INSERT INTO schema_migrations(version) VALUES ('$VER') ON CONFLICT DO NOTHING"
done
```
### `docker compose build` ignores env var override
Compose reads build args from `.env` file, not shell env. `VAR=x docker compose build` does NOT work.
```bash
# WRONG
DOCKER_WITH_PROXY_MODE=disabled docker compose build
# RIGHT
grep -q DOCKER_WITH_PROXY_MODE .env || echo 'DOCKER_WITH_PROXY_MODE=disabled' >> .env
docker compose build
```
### TLS handshake fails: `Invalid format for Authorization header`
Caddy DNS-01 ACME needs a Cloudflare **API Token** (`cfut_` prefix, 40+ chars, Bearer auth). A **Global API Key** (37 hex chars, X-Auth-Key auth) causes `HTTP 400 Code:6003`. Production may appear to work because it has cached certificates; fresh environments fail on first cert request.
```bash
# Verify token format before deploy:
TOKEN=$(grep CLOUDFLARE_API_TOKEN .env | cut -d= -f2)
echo "$TOKEN" | grep -q "^cfut_" || echo "FATAL: needs API Token, not Global Key"
```
Create scoped token via API:
```bash
curl -s "https://api.cloudflare.com/client/v4/user/tokens" -X POST \
-H "X-Auth-Email: $CF_EMAIL" -H "X-Auth-Key: $CF_GLOBAL_KEY" \
-d '{"name":"caddy-dns-acme","policies":[{"effect":"allow",
"resources":{"com.cloudflare.api.account.zone.<ZONE_ID>":"*"},
"permission_groups":[
{"id":"4755a26eedb94da69e1066d98aa820be","name":"DNS Write"},
{"id":"c8fed203ed3043cba015a93ad1616f1f","name":"Zone Read"}]}]}'
```
### TLS fails on staging but works on production — hardcoded domains
Caddyfile or compose has literal domain names. Staging Caddy loads production config, tries to get certs for domains it doesn't own → ACME fails.
**Caddyfile**: Use `{$VAR}` — Caddy evaluates env vars at startup.
```caddy
# WRONG
gpt-6.pro { tls { dns cloudflare {env.CLOUDFLARE_API_TOKEN} } }
# RIGHT
{$LOBEHUB_DOMAIN} { tls { dns cloudflare {env.CLOUDFLARE_API_TOKEN} } }
```
**Compose**: Use `${VAR:?required}` — fail-fast if unset.
```yaml
# WRONG
- APP_URL=https://gpt-6.pro
# RIGHT
- APP_URL=${APP_URL:?APP_URL is required}
```
Pass the env var to the gateway container so Caddy can read it:
```yaml
environment:
- LOBEHUB_DOMAIN=${LOBEHUB_DOMAIN:?LOBEHUB_DOMAIN is required}
- CLOUDFLARE_API_TOKEN=${CLOUDFLARE_API_TOKEN:?required for DNS-01 TLS}
```
### OAuth login fails: `Social sign in failed`
Casdoor `init_data.json` contains hardcoded redirect URIs. `--createDatabase=true` only applies init_data on first-ever DB creation — not on restarts. Fix via SQL in provisioner:
```bash
# Replace production domain with staging in existing Casdoor DB
$PSQL -c "UPDATE application SET redirect_uris = REPLACE(redirect_uris,
'gpt-6.pro', 'staging.gpt-6.pro')
WHERE name='lobechat'
AND redirect_uris LIKE '%gpt-6.pro%'
AND redirect_uris NOT LIKE '%staging.gpt-6.pro%';"
```
Also check `AUTH_CASDOOR_ISSUER` — it must match the Casdoor subdomain (`auth.staging.example.com`), not the app root domain.
## Multi-environment isolation
Before creating a second environment, grep `.tf` files for hardcoded names. See [references/multi-env-isolation.md](references/multi-env-isolation.md) for the complete matrix.
**Will fail on apply** (globally unique):
| Resource | Scope | Fix |
|---|---|---|
| SSH key pair | Region | `"${env}-deploy"` |
| SLS log project | Account | `"${env}-logs"` |
| CloudMonitor contact | Account | `"${env}-ops"` |
**DNS duplication trap**: Two environments creating A records for the same name in the same Cloudflare zone → two independent record IDs → DNS round-robin → ~50% traffic to wrong instance. Fix: use subdomain isolation (`staging.example.com`) or separate zones. Remember to create DNS records for ALL subdomains Caddy serves (e.g., `auth.staging`, `minio.staging`).
**Snapshot cross-contamination**: Unfiltered `data "alicloud_ecs_snapshots"` returns ALL account snapshots. New env inherits old 100GB snapshot, fails creating 40GB disk. Gate with variable:
```hcl
locals {
latest_snapshot_id = var.enable_snapshot_recovery && length(local.available_snapshots) > 0
? local.available_snapshots[0].snapshot_id : null
}
```
Do NOT add `count` to the data source — changes its state address, causes drift.
## Pre-deploy validation
Run a validation script **before** `terraform apply` to catch configuration errors locally. This eliminates the deploy→discover→fix→redeploy cycle.
Key checks (see [references/pre-deploy-validation.md](references/pre-deploy-validation.md)):
1. `terraform validate` — syntax
2. No hardcoded domains in Caddyfiles or compose files
3. Required env vars present (`LOBEHUB_DOMAIN`, `CLAUDE4DEV_DOMAIN`, `CLOUDFLARE_API_TOKEN`, `APP_URL`, etc.)
4. Cloudflare API Token format (not Global API Key)
5. DNS records exist for all Caddy-served domains
6. Casdoor issuer URL matches `auth.*` subdomain
7. SSH private key exRelated in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.