AWS Serverless
davila7/claude-code-templates
Specialized skill for building production-ready serverless applications on AWS.
Reference document for monopoly tech-matrix. An agent skill from sickn33/agentic-awesome-skills.
Install Tech Matrix
$ npx skills add sickn33/agentic-awesome-skills --skill tech-matrix -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills tech-matrix --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/monopoly/tech-matrix .claude/skills/tech-matrix && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tech-matrix" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monopoly/tech-matrix into .claude/skills/tech-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-matrix", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monopoly/tech-matrixType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill tech-matrix -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills tech-matrix --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/monopoly/tech-matrix .agents/skills/tech-matrix && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tech-matrix" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monopoly/tech-matrix into .agents/skills/tech-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-matrix", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill tech-matrix -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills tech-matrix --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/monopoly/tech-matrix .cursor/skills/tech-matrix && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tech-matrix" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monopoly/tech-matrix into .cursor/skills/tech-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-matrix", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/monopoly/tech-matrix--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill tech-matrix -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills tech-matrix --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/monopoly/tech-matrix .gemini/skills/tech-matrix && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tech-matrix" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monopoly/tech-matrix into .gemini/skills/tech-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-matrix", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills tech-matrixInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill tech-matrix -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/monopoly/tech-matrix .github/skills/tech-matrix && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tech-matrix" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monopoly/tech-matrix into .github/skills/tech-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-matrix", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill tech-matrix -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills tech-matrix --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/monopoly/tech-matrix .opencode/skills/tech-matrix && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tech-matrix" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monopoly/tech-matrix into .opencode/skills/tech-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-matrix", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
tech-matrix- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~3.1k tokens
- SKILL.md length
- 1,191 words
- Files
- 1
- Skills in repo
- 1,394
- Repo updated
- First seen
- Licence
- MIT
At a glance
Reference document for monopoly tech-matrix. An agent skill from sickn33/agentic-awesome-skills.
- Works in 10 steps: Database Selection → Cache Selection → Message Queue / Event Streaming → …
- Tasks that involve NoSQL databases
- SKILL.md covers When to Use, Table of Contents, 1. Database Selection and 2. Cache Selection, plus 10 more sections
- Calls aws
What it does
Tech Matrix is an agent skill from sickn33/agentic-awesome-skills. Reference document for monopoly tech-matrix.
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs, covering NoSQL databases and Event-driven systems. It works with Amazon Web Services and MySQL. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- Tasks that involve NoSQL databases
- Tasks that involve Event-driven systems
Example prompts
- “/tech-matrix”
Requirements
- Docker
Workflow steps
10 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
aws
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use aws, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Tech Matrix loads about 3.1k tokens when it runs. Until then it costs about 14 tokens; SKILL.md has 1,191 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 1,191 words, ~3,063 tokens.
Download SKILL.mdSave it as
.claude/skills/tech-matrix/SKILL.md (or your agent's skills folder).- name
- tech-matrix
- description
- Reference document for monopoly tech-matrix.
- source
- community
- date_added
- 2026-09-04
- risk
- safe
- reports-to
- monopoly
MONOPOLY — Technology Decision Matrix
When to Use
- Use this skill when the task matches this description: Reference document for monopoly tech-matrix.
Table of Contents
- Database Selection
- Cache Selection
- Message Queue / Event Streaming
- API Protocol
- Search Engine
- Object Storage
- Container Orchestration
- Load Balancer
- Observability Stack
- CDN
1. Database Selection
Relational (SQL)
| Database | Best For | Avoid When | Scale Ceiling |
|---|---|---|---|
| PostgreSQL | Complex queries, JSONB, GIS, strong consistency, most default use cases | Ultra-high write throughput (>100K writes/s) | ~10TB single node; use Citus for horizontal |
| MySQL / MariaDB | Read-heavy apps, legacy systems, WordPress/Drupal ecosystem | Complex queries, full ACID at scale | ~10TB; use Vitess for sharding |
| CockroachDB | Global distributed SQL, geo-partitioning, multi-region | Simple single-region apps (overkill) | Petabyte-scale |
| PlanetScale | MySQL-compatible, serverless, branch-based workflow | Complex JOINs (foreign keys removed by design) | Very high — Vitess based |
| Amazon Aurora | AWS-native apps, managed PostgreSQL/MySQL, high availability | Non-AWS environments | Up to 128TB, 15 replicas |
NoSQL
| Database | Best For | Avoid When | Scale Ceiling |
|---|---|---|---|
| MongoDB | Flexible schema, document model, prototyping | Financial transactions requiring ACID | Petabyte-scale with sharding |
| DynamoDB | Key-value at massive scale, AWS-native, serverless, predictable latency | Complex queries, ad-hoc analytics, JOINs | Unlimited (AWS-managed) |
| Cassandra | Write-heavy, time-series, wide-column, geographically distributed | Read-heavy with complex queries | Petabyte-scale; used at Apple, Netflix |
| Redis | Cache, sessions, leaderboards, pub/sub, rate limiting | Primary data store for complex models | ~1TB per node; cluster for more |
| Elasticsearch | Full-text search, log aggregation, analytics | Primary database (durability risk) | Petabyte-scale with clusters |
| InfluxDB | Time-series metrics, IoT, monitoring data | General-purpose data | Very high write throughput |
| Neo4j | Graph data, social networks, recommendation engines, fraud detection | Non-graph data (overhead not worth it) | Billions of nodes |
Decision Framework
Is your data relational (joins, foreign keys, transactions)?
YES → Start with PostgreSQL
NO → Continue below
Is your primary access pattern key-value?
YES, need extreme scale → DynamoDB or Cassandra
YES, need speed/cache → Redis
Is your data document-shaped (nested, flexible schema)?
YES → MongoDB
Is it time-series (metrics, logs, IoT)?
YES → InfluxDB or TimescaleDB
Is it graph (relationships are the data)?
YES → Neo4j
Is it search?
YES → Elasticsearch / OpenSearch2. Cache Selection
| Technology | Best For | Max Single Node | Cluster Support |
|---|---|---|---|
| Redis | Sessions, leaderboards, pub/sub, complex data structures, Lua scripting | ~1TB RAM | Yes (Redis Cluster, Redis Sentinel) |
| Memcached | Simple key-value, multi-threaded, large object cache | ~64GB RAM | Yes (client-side sharding) |
| Varnish | HTTP reverse proxy cache, full-page caching | RAM bound | Limited |
| CloudFront / CDN | Static assets, edge caching globally | N/A (distributed) | Built-in global distribution |
Default recommendation: Redis — more features, better ecosystem, active development.
Use Memcached only when: you need multi-threading for CPU-bound caching workloads and don't need data structures beyond string.
3. Message Queue / Event Streaming
| Technology | Model | Best For | Throughput | Retention |
|---|---|---|---|---|
| Apache Kafka | Log-based streaming | Event sourcing, high-throughput pipelines, replay, audit | Millions msg/s | Days to forever |
| RabbitMQ | AMQP message broker | Task queues, RPC, routing, fanout | 50K–100K msg/s | Until consumed |
| AWS SQS | Managed queue | AWS-native, simple task queue, serverless | Very high (managed) | Up to 14 days |
| AWS SNS | Pub/sub notification | Fan-out to many subscribers (email, SMS, Lambda, SQS) | Very high (managed) | No retention |
| Google Pub/Sub | Managed streaming | GCP-native, global, serverless | Very high (managed) | Up to 7 days |
| Redis Pub/Sub | In-memory pub/sub | Real-time notifications, low latency, fire-and-forget | Very high | None (no retention) |
| NATS | Lightweight messaging | IoT, microservices, low latency | Very high | JetStream adds retention |
Decision Matrix
Need event replay / audit trail?
YES → Kafka or Kinesis
Need simple task queue with retries and DLQ?
AWS shop → SQS
Self-hosted → RabbitMQ
Need real-time pub/sub with no persistence?
Redis Pub/Sub or NATS
Need fan-out to multiple consumers?
Kafka (consumer groups) or SNS → SQS fan-out
Need < 5 minutes guaranteed delivery, AWS-native, zero ops?
SQS
Volume > 1 million messages/second?
Kafka (self-hosted) or Kinesis (managed)4. API Protocol
| Protocol | Best For | Avoid When |
|---|---|---|
| REST (HTTP/JSON) | Public APIs, CRUD, browser clients, simplicity | Strict typing required; high-performance internal services |
| GraphQL | Complex client data requirements, mobile (reduce over-fetching), BFF pattern | Simple CRUD; not worth the complexity |
| gRPC (HTTP/2 + Protobuf) | Internal microservice communication, low latency, strict contracts, streaming | Public browser APIs (needs gRPC-web) |
| WebSocket | Real-time bidirectional (chat, live dashboards, multiplayer games) | One-way server push (use SSE instead) |
| SSE (Server-Sent Events) | Server → client push (notifications, live feeds) | Bidirectional communication |
| GraphQL Subscriptions | Real-time with GraphQL schema consistency | Simple push scenarios |
Default recommendation:
- External / public: REST
- Internal service-to-service: gRPC
- Real-time features: WebSocket or SSE
5. Search Engine
| Technology | Best For | Avoid When |
|---|---|---|
| Elasticsearch | Full-text search, log analytics (ELK), complex aggregations | Simple lookups; operational overhead is high |
| OpenSearch | AWS-native Elasticsearch alternative | Non-AWS preferred setups |
| Typesense | Simple, fast full-text search, typo tolerance, easy ops | Complex aggregations at massive scale |
| Algolia | Managed search-as-a-service, fast setup, great UI | High volume (expensive); self-hosted preference |
| Meilisearch | Self-hosted, developer-friendly, fast relevancy | Enterprise-scale analytics |
| PostgreSQL FTS | Basic full-text search, already using PostgreSQL | High relevancy requirements or large datasets |
Rule of thumb: Use PostgreSQL FTS under 1M documents. Move to Typesense or Elasticsearch above that.
6. Object Storage
| Service | Best For | Egress Cost |
|---|---|---|
| AWS S3 | AWS-native apps, de facto standard, massive ecosystem | $0.09/GB (expensive) |
| Cloudflare R2 | S3-compatible, zero egress cost, global | $0.00 egress |
| GCS | GCP-native | $0.12/GB |
| Azure Blob | Azure-native | $0.087/GB |
| Backblaze B2 | Cost-sensitive, S3-compatible | Free with Cloudflare |
| MinIO | Self-hosted S3-compatible | Self-managed |
Cost optimization tip: Use Cloudflare R2 for user-facing media delivery (zero egress). Use S3 for internal/AWS-integrated storage.
Show full SKILL.md (465 more words)Show less
7. Container Orchestration
| Technology | Best For | Avoid When |
|---|---|---|
| Kubernetes (K8s) | Large teams, complex deployments, multi-cloud, full control | Small teams (ops overhead is very high) |
| AWS ECS + Fargate | AWS-native, serverless containers, simpler than K8s | Multi-cloud or K8s ecosystem tools needed |
| AWS EKS | Managed K8s on AWS, best of both | Small teams; Fargate may be enough |
| GKE (Google) | Best managed K8s, GCP-native, Autopilot mode | Non-GCP environments |
| Docker Compose | Local dev, small single-server deployments | Production at any meaningful scale |
| Nomad | HashiCorp ecosystem, simpler than K8s, multi-workload | K8s ecosystem tools required |
Startup default: ECS + Fargate (zero cluster management). Scale default: EKS or GKE once team > 5 engineers or services > 10.
8. Load Balancer
| Technology | Layer | Best For |
|---|---|---|
| AWS ALB | L7 (HTTP/HTTPS) | AWS apps, path-based routing, WebSocket, HTTP/2 |
| AWS NLB | L4 (TCP/UDP) | Ultra-low latency, static IP, non-HTTP protocols |
| GCP GLB | L7 global | GCP apps, global anycast, single IP worldwide |
| Nginx | L4/L7 | Self-hosted, reverse proxy, flexible config |
| HAProxy | L4/L7 | High performance self-hosted, advanced routing |
| Cloudflare | L7 global + DDoS | DDoS protection + CDN + load balancing combined |
| Traefik | L7 | Kubernetes-native, automatic SSL, service discovery |
9. Observability Stack
Metrics
| Tool | Best For |
|---|---|
| Prometheus + Grafana | Self-hosted, open-source, Kubernetes-native |
| Datadog | Managed, APM + infra + logs unified, expensive |
| CloudWatch | AWS-native, zero setup, integrated with AWS services |
| New Relic | APM-focused, good for application-level insights |
Logging
| Tool | Best For |
|---|---|
| ELK Stack (Elasticsearch + Logstash + Kibana) | Self-hosted, powerful, high volume |
| Loki + Grafana | Lightweight, Kubernetes-native, cheap |
| Splunk | Enterprise, compliance, expensive |
| AWS CloudWatch Logs | AWS-native, zero setup |
| Datadog Logs | Unified with metrics, expensive |
Distributed Tracing
| Tool | Best For |
|---|---|
| Jaeger | Open-source, Kubernetes-native, OpenTelemetry |
| Zipkin | Simple, lightweight, good integrations |
| AWS X-Ray | AWS-native, integrates with Lambda, ECS |
| Datadog APM | Managed, unified with metrics and logs |
| Honeycomb | High-cardinality event-based observability |
Recommended open-source stack: Prometheus + Grafana + Loki + Jaeger (all integrate via OpenTelemetry) Recommended managed stack: Datadog (expensive but unified) or Grafana Cloud
10. CDN
| Technology | Best For | Edge Locations |
|---|---|---|
| Cloudflare | DDoS protection + CDN + DNS, best free tier, edge workers | 300+ |
| AWS CloudFront | AWS-native, deep S3 and API GW integration | 450+ |
| Akamai | Enterprise, highest performance, expensive | 4000+ |
| Fastly | Real-time purging, streaming, VCL customization | 90+ |
| Vercel Edge / Netlify | Jamstack, frontend-first, zero config | 100+ |
Default recommendation: Cloudflare for most use cases (best value, DDoS included, free SSL, Workers for edge compute).
Scale Benchmarks Quick Reference
| Technology | Write Throughput | Read Throughput | Notes |
|---|---|---|---|
| PostgreSQL (single) | ~10K writes/s | ~50K reads/s | With connection pooling |
| PostgreSQL (replicas) | ~10K writes/s | ~200K reads/s | 4 replicas |
| MySQL (single) | ~15K writes/s | ~60K reads/s | |
| Cassandra | ~1M writes/s | ~500K reads/s | 10-node cluster |
| Redis | ~1M ops/s | ~1M ops/s | Single node in-memory |
| Kafka | ~1M msgs/s | ~1M msgs/s | Per partition |
| Elasticsearch | ~50K docs/s | ~10K queries/s | Per node |
| MongoDB | ~50K writes/s | ~100K reads/s | Per replica set |
All benchmarks are approximate and depend heavily on hardware, payload size, and query complexity.
Limitations
- This is a reference document and may not cover all edge cases. Always verify architectures before production.
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/monopoly/tech-matrix of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 1e53ce2
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Tech Matrix next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tech Matrix this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.1k | Automated safety check: Pass | MIT | |
| AWS Serverlessdavila7/claude-code-templates | 32k | 7 repos | ~2k | Automated safety check: Pass | MIT | |
| Use Sealoshashgraph-online/awesome-codex-plugins | 1.2k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Ak Cloud Deployyaalalabs/agent-kernel | 191 | — | ~14k | Automated safety check: Pass | Apache-2.0 | |
| AWS Storageaws/agent-toolkit-for-aws | 2.8k | — | ~5.8k | Automated safety check: Pass | Apache-2.0 | |
| Ingesting Into Data Lakeaws/agent-toolkit-for-aws | 2.8k | 1 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Use Sealos
hashgraph-online/awesome-codex-plugins
Deploy and operate apps on Sealos Cloud: sign in to a Sealos account, deploy any project or self-hosted app (from the template store, an official Docker image, or project source code), provision…
Ak Cloud Deploy
yaalalabs/agent-kernel
Deploy an Agent Kernel project to AWS, Azure, or GCP using Terraform modules, or to any Kubernetes cluster (on-prem, baremetal, EKS) using the official Helm chart.
- Official
AWS Storage
aws/agent-toolkit-for-aws
Selects, investigates, and compares AWS object, file, and block storage services, and answers cost, performance, configuration, security, and troubleshooting questions about storage services.
- Official
Ingesting Into Data Lake
aws/agent-toolkit-for-aws
Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue…
- Official
Logfire Infrastructure
pydantic/skills
Monitor hosts, Docker containers, Kubernetes clusters, database/queue/cache servers, and cloud-provider metrics with Pydantic Logfire — no application code required.
More from sickn33/agentic-awesome-skills
All 1,394 skills in this repoLiuguang Banlan UI
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
User Thoughts Memory
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
Using LWC Memory and Graphs
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
Find Complementary Founders
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
Whatsapp Cloud API
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
Cline Pilot
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Related
Works with
Categories
Questions about Tech Matrix
What does Tech Matrix do?
Reference document for monopoly tech-matrix. An agent skill from sickn33/agentic-awesome-skills. Tech Matrix is an agent skill from sickn33/agentic-awesome-skills. Reference document for monopoly tech-matrix.
When should I use Tech Matrix?
Tech Matrix fits situations like: tasks that involve NoSQL databases; tasks that involve Event-driven systems.
How do I install Tech Matrix in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill tech-matrix -a claude-code`. Or copy the skill folder (skills/monopoly/tech-matrix in sickn33/agentic-awesome-skills) into .claude/skills/tech-matrix in your project. Claude Code loads it when a task matches its description.
How do I install Tech Matrix in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill tech-matrix -a codex`. Or copy the skill folder (skills/monopoly/tech-matrix in sickn33/agentic-awesome-skills) into .agents/skills/tech-matrix in your project. Codex loads it when a task matches its description.
Can I use Tech Matrix in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill tech-matrix -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tech-matrix, .gemini/skills/tech-matrix, .github/skills/tech-matrix and .opencode/skills/tech-matrix in your project.
What does Tech Matrix need to run?
Going by SKILL.md and its folder, Tech Matrix needs the command-line tools its instructions call (aws). Our summary lists: Docker.
Does Tech Matrix access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Tech Matrix safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Tech Matrix use?
Tech Matrix is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Tech Matrix use?
About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Tech Matrix?
Skills that share tags, products or a category with Tech Matrix: AWS Serverless (davila7/claude-code-templates, 32k stars), Use Sealos (hashgraph-online/awesome-codex-plugins, 1.2k stars), Ak Cloud Deploy (yaalalabs/agent-kernel, 191 stars) and AWS Storage (aws/agent-toolkit-for-aws, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tech Matrix?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.