DevOps & Infra

swan-gtm Skill

Use this skill when the user asks what Reddit activity is actually producing — "is Reddit driving signups," "attribute this pipeline to Reddit," "prove the Reddit motion works." Wires UTMs into posted links, isolates Reddit sessions in analytics, connects them to CRM pipeline, and uses mention-spike correlation as the proxy where click-level tracking can't reach.

swan-gtm Bundle

Use this skill to scan a team member's LinkedIn DMs daily and turn conversations into routed signals. It classifies each chat into a bucket (customer support, commercial, pipeline, re-engagement, prospect, partner, VC, community, and more), updates account memory and the CRM, scores qualified signals and routes them to your MQL channel, and closes every scored signal with a suggested next move — a drafted reply for the thread owner or an approval-queued sequence for the rest of the buying committee. It never auto-sends outreach.

swan-gtm Skill

Use this skill when creator budget needs a defensible forecast — "what will €10K of creator spend produce," "build the pipeline model for the creator channel," "what ARR can we commit to from this program." A five-input model (budget, cost per qualified click, click→opportunity rate, win rate, ACV) with a worked example and the sensitivity insight that decides where tuning effort goes.

swan-gtm Bundle

Use this skill after a B2B webinar has registrations or engagement data but before treating every registrant as a sales lead. Produces reconciled lifecycle states, fit and intent scores, a prioritised sales-review queue, segment-specific follow-up, and a measurable handoff from webinar registration to qualified pipeline and booked meetings.

swan-gtm Bundle

Use this skill when a profile-view webhook (e.g. LeadShark) fires for a new view on a team member's LinkedIn profile. It resolves the viewer's identity and company, applies dedup, internal, relationship, and ICP gates, and routes qualified viewers into the MQL pipeline — treating a profile view exactly like a website visit. The CRM is never polluted: only fully resolved, ICP-matched viewers reach a CRM write.

mattakushi432 Skill

When to activate: DevSecOps, SAST, DAST, shift-left, security pipeline, container scanning, dependency audit, policy as code

mattakushi432 Skill

When to activate: AWS, EC2, ECS, EKS, Lambda, RDS, S3, CloudFront, IAM, VPC, ALB, CloudWatch, CDK, CloudFormation

mattakushi432 Skill

When to activate: GCP, Google Cloud, GKE, Cloud Run, Cloud Functions, Cloud SQL, GCS, Artifact Registry, IAM, Pub/Sub, BigQuery

mattakushi432 Skill

When to activate: Spark, PySpark, Kafka, Airflow, Prefect, ETL, data pipeline, batch processing, streaming, data lineage

mattakushi432 Skill

When to activate: Flutter build, flavors, build variants, CI/CD, fastlane, GitHub Actions, signing, shorebird, release, deployment

mattakushi432 Skill

When to activate: Helm, chart, values.yaml, templates, release, hook, subchart, Tiller, upgrade, rollback, helmfile

mattakushi432 Skill

When to activate: Kubernetes, k8s, kubectl, deployment, pod, service, ingress, HPA, ConfigMap, Secret, namespace

mattakushi432 Skill

When to activate: ETL, data pipeline, Prefect, Airflow, DLT, Polars, batch processing, data quality

sairam0424 Skill

Skill — RFC Pipeline

sairam0424 Skill

Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.

sairam0424 Skill

Skill — Orchestrator Pipeline (shared engine)

sairam0424 Skill

CI/CD Pipeline

sairam0424 Skill

Skill — Kubernetes Deployment

aeondave Skill

Auth/lab ref: AWS CLI v2 for interacting with AWS services from the terminal.

aeondave Bundle

Auth/lab ref: Pinggy localhost tunneling service for HTTP(S), TCP, UDP, TLS, and TLSTCP tunnels over SSH, Pinggy CLI, Docker, GUI app, Node.js SDK, or Python SDK.

aeondave Bundle

Design, build, and tune Claude agents — primarily Claude Code subagents (the Markdown + YAML files under .claude/agents/ or ~/.claude/agents/ that Claude delegates to), and also Claude Managed Agents (the cloud agent harness on the API). Use when asked to create a Claude agent or subagent, write agent frontmatter (name, description, tools, model, skills, permissionMode, hooks, memory), design a focused reviewer/debugger/researcher agent, scope tool access, route work to a cheaper model, build a team of delegating agents, or fix an agent that never triggers or sees the wrong context. Not for AGENTS.md / CLAUDE.md instruction files (use agent-md-creator), portable Agent Skills (use skill-creator), or OpenCode agents (use opencode-agent-creator).

aeondave Skill

Auth/lab ref: Google Cloud CLI for authenticating, configuring projects, and enumerating GCP resources from the terminal.

aeondave Skill

CI/CD supply chain methodology: identifying poisoned pipelines, unsafe GitHub Actions, and extracting build secrets.

aeondave Skill

Auth/lab ref: Threaded password spraying tool targeting Microsoft 365, Azure AD, ADFS, and on-prem Active Directory.

aeondave Skill

Scoped routing: cloud/SaaS/IAM operator for authorized assessments. Governs AWS/GCP/Azure exploration workflows.

aeondave Bundle

Public-source research: target definition, source priority, identity/infra/breach/media/geospatial pivots, evidence synthesis.

aeondave Bundle

Auth/lab ref: SSH key exposure audit; private keys, authorized_keys, cloud config, host/user access evidence and remediation.

aeondave Bundle

Container methodology: Identifying containerization limits, Docker/K8s misconfigurations, and executing escapes to the host node.

aeondave Bundle

Auth/lab ref: TruffleHog secret scanning; verified secret types, git/cloud/CI sources, validation evidence, remediation workflow.

h3y6e Bundle

Plans, configures, and hardens Google Kubernetes Engine (GKE) security. Covers Workload Identity Federation, Secret Manager integration, RBAC hardening, Binary Authorization, Network Policies (Dataplane V2), Pod Security Standards, and IAM roles. Use when securing GKE clusters, setting up Workload Identity, hardening RBAC configurations, or configuring GKE secrets. Don't use for general network routing configuration (use gke-networking instead).

h3y6e Bundle

Plans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters. Produces upgrade plans, pre/post-upgrade checklists, maintenance runbooks with gcloud commands, release channel strategy, and troubleshooting guides. Handles node pool upgrade strategies (surge, blue-green), version compatibility, PDB management, and workload-specific concerns (stateful, GPU, operators). Use this skill whenever the user mentions GKE upgrades, Kubernetes version bumps, node pool maintenance, GKE patching, cluster version management, release channel selection, maintenance windows, surge upgrades, stuck upgrades, or any GKE lifecycle management task — even casual mentions like "we need to upgrade our clusters" or "plan our next GKE maintenance" or "our upgrade is stuck." Don't use for GKE cluster creation, application onboarding, general networking/routing setup, or security policy configurations (use gke-basics or relevant GKE skills instead).

h3y6e Bundle

Create, update, and review Terraform provider documentation for Terraform Registry using HashiCorp-recommended patterns, tfplugindocs templates, and schema descriptions. Use when adding or changing provider configuration, resources, data sources, ephemeral resources, list resources, functions, or guides; when validating generated docs; and when troubleshooting missing or incorrect Registry documentation.

h3y6e Bundle

Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.

h3y6e Bundle

Comprehensive guide for writing and running Terraform tests. Use when creating test files (.tftest.hcl), writing test scenarios with run blocks, validating infrastructure behavior with assertions, mocking providers and data sources, testing module outputs and resource configurations, or troubleshooting Terraform test syntax and execution.

h3y6e Skill

Build Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances.

h3y6e Bundle

Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing performance/hotspotting issues. Also use when provisioning Bigtable clusters using gcloud or cbt CLIs. Don't use for generic Cloud SQL administration.