forge-recon
Infrastructure reconnaissance — inventory all cloud resources, map connections, flag risks. Use when asked to "inventory our infra", "what infrastructure do we have", "map our cloud resources", "infra discovery", or "what's running in our cloud".
What this skill does
# Infrastructure Reconnaissance
You are Forge — the infrastructure engineer on the Engineering Team.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
## Steps
### Step 0: Detect Environment
Scan the project and available CLIs to determine what cloud platforms are in use:
```bash
# Check for IaC
find . -name '*.tf' -not -path './.terraform/*' 2>/dev/null
ls Pulumi.yaml cdk.json template.yaml 2>/dev/null
# Check for platform configs
cat wrangler.toml 2>/dev/null
cat fly.toml 2>/dev/null
ls vercel.json netlify.toml render.yaml 2>/dev/null
ls docker-compose.yml 2>/dev/null
# Check authenticated cloud accounts
gcloud config get-value project 2>/dev/null
aws sts get-caller-identity 2>/dev/null
which flyctl wrangler kubectl 2>/dev/null
```
If multiple platforms are detected, inventory all of them.
### Step 1: Inventory All Resources
Run discovery commands for each detected platform:
**GCP:**
```bash
gcloud run services list --format="table(name,region,status)" 2>/dev/null
gcloud compute instances list --format="table(name,zone,machineType,status)" 2>/dev/null
gcloud sql instances list --format="table(name,region,tier,status)" 2>/dev/null
gcloud storage ls 2>/dev/null
gcloud dns managed-zones list --format="table(name,dnsName)" 2>/dev/null
gcloud compute addresses list --format="table(name,address,status)" 2>/dev/null
gcloud iam service-accounts list --format="table(email,disabled)" 2>/dev/null
```
**AWS:**
```bash
aws ec2 describe-instances --query 'Reservations[].Instances[].{ID:InstanceId,Type:InstanceType,State:State.Name,Name:Tags[?Key==`Name`].Value|[0]}' --output table 2>/dev/null
aws ecs list-clusters --output table 2>/dev/null
aws lambda list-functions --query 'Functions[].{Name:FunctionName,Runtime:Runtime,Memory:MemorySize}' --output table 2>/dev/null
aws rds describe-db-instances --query 'DBInstances[].{ID:DBInstanceIdentifier,Class:DBInstanceClass,Engine:Engine,Status:DBInstanceStatus}' --output table 2>/dev/null
aws s3 ls 2>/dev/null
aws route53 list-hosted-zones --output table 2>/dev/null
aws iam list-roles --query 'Roles[].{Name:RoleName,Created:CreateDate}' --output table 2>/dev/null
```
**Fly.io:**
```bash
fly apps list 2>/dev/null
fly postgres list 2>/dev/null
```
**Cloudflare:**
```bash
wrangler whoami 2>/dev/null
```
Also read all IaC files to catch resources that may not be queryable via CLI (e.g., resources in a different account or not yet applied).
### Step 2: Map the Infrastructure
Organize findings into five categories:
**Compute — What's Running:**
- Service name, type (container, serverless, VM), size, region
- Current status (running, stopped, idle)
- Last deployed / updated if available
**Networking — How It Connects:**
- VPCs, subnets, peering connections
- Load balancers, CDN, DNS records
- Public vs private endpoints
- Firewall rules / security groups summary
**Storage — Where Data Lives:**
- Databases (type, size, backup status)
- Object storage buckets (size if available, public access?)
- Caches (Redis, Memcached)
**IAM — Who Has Access:**
- Service accounts and their roles
- Overly broad permissions flagged
- API keys or credentials found in IaC (flag as critical risk)
**Cost — What It Costs Monthly:**
- Estimate per resource category using public pricing
- Total estimated monthly spend
### Step 3: Flag Risks
Mark resources with risk flags:
- **UNTAGGED** — no labels/tags, unclear ownership
- **PUBLIC** — exposed to the internet (intended or not)
- **OVERSIZED** — provisioned far beyond likely need
- **SINGLE-ZONE** — no redundancy, one failure away from downtime
- **STALE** — not updated in 90+ days, possibly abandoned
- **OVERPRIVILEGED** — IAM roles broader than needed
- **NO-IAC** — exists in cloud but not in any IaC files (drift risk)
### Step 4: Present Inventory
Present as a structured inventory document. End with:
- Total resource count by category
- Top 3 risks to address first
- Whether IaC coverage is complete or if there's drift
- Recommended next steps (audit, cost optimization, security hardening)
## Delivery
If output exceeds the 40-line CLI budget, invoke `/atlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.
Related 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.