Create Environment
godatadriven/whirl
Create a new Whirl environment in the envs/ directory. An agent skill from godatadriven/whirl.
Process kafka stream processor operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill kafka-stream-processor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace kafka-stream-processor --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/11-data-pipelines/kafka-stream-processor .claude/skills/kafka-stream-processor && 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 "kafka-stream-processor" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/kafka-stream-processor into .claude/skills/kafka-stream-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kafka-stream-processor", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/kafka-stream-processorType 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 jeremylongshore/tons-of-skills-marketplace --skill kafka-stream-processor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace kafka-stream-processor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/11-data-pipelines/kafka-stream-processor .agents/skills/kafka-stream-processor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kafka-stream-processor" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/kafka-stream-processor into .agents/skills/kafka-stream-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kafka-stream-processor", 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 jeremylongshore/tons-of-skills-marketplace --skill kafka-stream-processor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace kafka-stream-processor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/11-data-pipelines/kafka-stream-processor .cursor/skills/kafka-stream-processor && 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 "kafka-stream-processor" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/kafka-stream-processor into .cursor/skills/kafka-stream-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kafka-stream-processor", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/11-data-pipelines/kafka-stream-processor--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 jeremylongshore/tons-of-skills-marketplace --skill kafka-stream-processor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace kafka-stream-processor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/11-data-pipelines/kafka-stream-processor .gemini/skills/kafka-stream-processor && 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 "kafka-stream-processor" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/kafka-stream-processor into .gemini/skills/kafka-stream-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kafka-stream-processor", 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 jeremylongshore/tons-of-skills-marketplace kafka-stream-processorInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill kafka-stream-processor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/11-data-pipelines/kafka-stream-processor .github/skills/kafka-stream-processor && 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 "kafka-stream-processor" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/kafka-stream-processor into .github/skills/kafka-stream-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kafka-stream-processor", 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 jeremylongshore/tons-of-skills-marketplace --skill kafka-stream-processor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace kafka-stream-processor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/11-data-pipelines/kafka-stream-processor .opencode/skills/kafka-stream-processor && 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 "kafka-stream-processor" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/kafka-stream-processor into .opencode/skills/kafka-stream-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kafka-stream-processor", 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.
kafka-stream-processorProcess kafka stream processor operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Kafka Stream Processor is an agent skill from jeremylongshore/tons-of-skills-marketplace. Process kafka stream processor operations. Auto-activating skill for Data Pipelines. Triggers on: kafka stream processor, kafka stream processor Part of the Data Pipelines skill category. Use when working with kafka stream processor functionality. Trigger with phrases like "kafka stream processor", "kafka processor", "kafka".
Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code
It sits in Backend & APIs, covering Event-driven systems and Data pipelines and ETL. It works with Apache Kafka. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(cmd:*)GrepFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Kafka Stream Processor loads about 573 tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 196 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.
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.
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 196 words, ~573 tokens.
.claude/skills/kafka-stream-processor/SKILL.md (or your agent's skills folder).This skill provides automated assistance for kafka stream processor tasks within the Data Pipelines domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with kafka stream processor" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/11-data-pipelines/kafka-stream-processor of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Kafka Stream Processor 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 |
|---|---|---|---|---|---|---|
| Kafka Stream Processor this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~573 | Automated safety check: Pass | MIT | |
| Create Environmentgodatadriven/whirl | 205 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Streaming Dataancoleman/ai-design-components | 525 | — | ~2.9k | Automated safety check: Pass | MIT | |
| AWS Storageaws/agent-toolkit-for-aws | 2.8k | — | ~5.8k | Automated safety check: Pass | Apache-2.0 | |
| Azure Eventhub Javamicrosoft/skills | 3.1k | 5 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Phy Pipeline Contract EnforcerLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
godatadriven/whirl
Create a new Whirl environment in the envs/ directory. An agent skill from godatadriven/whirl.
ancoleman/ai-design-components
Build event streaming and real-time data pipelines with Kafka, Pulsar, Redpanda, Flink, and Spark.
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.
microsoft/skills
Build real-time streaming applications with Azure Event Hubs SDK for Java.
LeoYeAI/openclaw-master-skills
Data pipeline contract enforcer. An agent skill from LeoYeAI/openclaw-master-skills.
windmill-labs/windmill
Checklist of every backend, frontend, CLI and capture change needed to add a new TriggerCrud-based trigger type, such as Azure, GCP or Kafka, to Windmill.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Works with
Categories
Process kafka stream processor operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Kafka Stream Processor is an agent skill from jeremylongshore/tons-of-skills-marketplace. Process kafka stream processor operations.
Kafka Stream Processor fits situations like: : kafka stream processor; kafka stream processor Part of the Data Pipelines skill category; working with kafka stream processor functionality; with phrases like kafka stream processor.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill kafka-stream-processor -a claude-code`. Or copy the skill folder (skills/11-data-pipelines/kafka-stream-processor in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/kafka-stream-processor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill kafka-stream-processor -a codex`. Or copy the skill folder (skills/11-data-pipelines/kafka-stream-processor in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/kafka-stream-processor in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill kafka-stream-processor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kafka-stream-processor, .gemini/skills/kafka-stream-processor, .github/skills/kafka-stream-processor and .opencode/skills/kafka-stream-processor in your project.
SKILL.md names no scripts, command-line tools or credentials: Kafka Stream Processor is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(cmd:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
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.
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.
Kafka Stream Processor is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 573 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Kafka Stream Processor: Create Environment (godatadriven/whirl, 205 stars), Streaming Data (ancoleman/ai-design-components, 525 stars), AWS Storage (aws/agent-toolkit-for-aws, 2.8k stars) and Azure Eventhub Java (microsoft/skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.