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aiskillstore/marketplace
Research GitHub, GitLab, and Bitbucket repositories using DeepWiki MCP server.
Generate an A2A agent card JSON by analyzing agent source code in a folder or GitHub URL.
$ npx skills add agentic-community/mcp-gateway-registry --skill generate-agent-card -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentic-community/mcp-gateway-registry generate-agent-card --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/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/generate-agent-card .claude/skills/generate-agent-card && 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 "generate-agent-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-agent-card into .claude/skills/generate-agent-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-agent-card", 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/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-agent-cardType 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 agentic-community/mcp-gateway-registry --skill generate-agent-card -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentic-community/mcp-gateway-registry generate-agent-card --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/generate-agent-card .agents/skills/generate-agent-card && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "generate-agent-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-agent-card into .agents/skills/generate-agent-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-agent-card", 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 agentic-community/mcp-gateway-registry --skill generate-agent-card -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentic-community/mcp-gateway-registry generate-agent-card --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/generate-agent-card .cursor/skills/generate-agent-card && 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 "generate-agent-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-agent-card into .cursor/skills/generate-agent-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-agent-card", 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/agentic-community/mcp-gateway-registry.git --path .claude/skills/generate-agent-card--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 agentic-community/mcp-gateway-registry --skill generate-agent-card -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentic-community/mcp-gateway-registry generate-agent-card --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/generate-agent-card .gemini/skills/generate-agent-card && 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 "generate-agent-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-agent-card into .gemini/skills/generate-agent-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-agent-card", 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 agentic-community/mcp-gateway-registry generate-agent-cardInstalls 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 agentic-community/mcp-gateway-registry --skill generate-agent-card -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/generate-agent-card .github/skills/generate-agent-card && 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 "generate-agent-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-agent-card into .github/skills/generate-agent-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-agent-card", 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 agentic-community/mcp-gateway-registry --skill generate-agent-card -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentic-community/mcp-gateway-registry generate-agent-card --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/generate-agent-card .opencode/skills/generate-agent-card && 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 "generate-agent-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-agent-card into .opencode/skills/generate-agent-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-agent-card", 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.
generate-agent-cardGenerate an A2A agent card JSON by analyzing agent source code in a folder or GitHub URL.
Generate Agent Card is an agent skill from agentic-community/mcp-gateway-registry. Generate an A2A agent card JSON by analyzing agent source code in a folder or GitHub URL. Studies the code to detect agent name, skills, tools, auth, protocol, and generates a spec-compliant agent card.
Its SKILL.md is about 2.8k 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 Agent Workflows, covering MCP servers. It works with GitHub and Model Context Protocol. The repository describes itself as: Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI… The licence is Apache-2.0.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ec3a197. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
bedrock-agentcore.us-east-1.amazonaws.comAlso links to:
a2a-protocol.orgFrom 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.
Generate Agent Card loads about 2.8k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 674 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 agentic-community/mcp-gateway-registry at commit ec3a197, republished under its Apache-2.0 licence (© agentic-community). 674 words, ~2,774 tokens.
.claude/skills/generate-agent-card/SKILL.md (or your agent's skills folder).Generate an A2A (Agent-to-Agent) protocol agent card JSON file by analyzing the source code at $ARGUMENTS.
Do NOT just skim the top-level files. Agents can be complex, multi-file projects. You MUST thoroughly explore the entire folder structure before generating the card.
If $ARGUMENTS is a local folder path, use Glob to find ALL Python files, YAML/JSON configs, and README files in the folder and its subfolders. Read every relevant file.
If $ARGUMENTS is a GitHub URL, use WebFetch to read the raw file contents. Follow imports to discover additional files.
Where to look (agents are not always a single file):
main.py, app.py, agent_entrypoint.py, server.py, __main__.pytools/, skills/, functions/, or registered via decorators (@tool, @function_tool, @mcp_tool)prompts/, templates/, system_prompt.txt, or as string constantsmcp_servers, MCPClient, tool imports from MCP servers - these are skills the agent can usepyproject.toml, requirements.txt, .bedrock_agentcore.yaml, agent_config.yaml, docker-compose.ymlFrom the code, detect:
@tool decorators, tool lists, function definitions passed to agent frameworks (Strands, LangChain, CrewAI, AutoGen, etc.), MCP tool connections, imported tool modulesHTTP+JSON), A2A (JSONRPC), MCP1.0.0.bedrock_agentcore.yaml or deployment config if availableCreate a JSON file following the official A2A Agent Card specification (https://a2a-protocol.org/latest/specification/).
All mandatory fields MUST be present. Use camelCase for JSON field names.
{
"name": "string - Human-readable agent name",
"description": "string - What the agent does",
"version": "string - e.g. 1.0.0",
"supportedInterfaces": [
{
"url": "string - Agent endpoint URL",
"protocolBinding": "string - JSONRPC or HTTP+JSON or GRPC",
"protocolVersion": "string - e.g. 1.0"
}
],
"capabilities": {
"streaming": false,
"pushNotifications": false
},
"defaultInputModes": ["text/plain"],
"defaultOutputModes": ["text/plain"],
"skills": [
{
"id": "string - unique skill id",
"name": "string - human-readable name",
"description": "string - what the skill does",
"tags": ["string"],
"examples": ["string - example prompts"]
}
]
}provider: Include if organization info is available. Requires organization (string) and url (string).documentationUrl: Link to docs if found in README or code.iconUrl: Agent icon if found.securitySchemes: Include when auth is detected:{"bearerAuth": {"httpAuthSecurityScheme": {"scheme": "Bearer", "description": "Cognito JWT bearer token"}}}{"apiKey": {"apiKeySecurityScheme": {"name": "x-api-key", "location": "header"}}}{"sigv4": {"httpAuthSecurityScheme": {"scheme": "AWS4-HMAC-SHA256", "description": "AWS SigV4 request signing"}}}securityRequirements: Reference the schemes defined above, e.g. [{"schemes": {"bearerAuth": []}}]id: snake_case identifiername: Human-readable namedescription: From the function docstring or tool descriptiontags: Relevant categories (e.g. ["math", "calculator"], ["search", "web"])examples: 2-3 example prompts showing usage.bedrock_agentcore.yaml in the agent folder and read the ARN/endpoint if availablehttps://<AGENT_ENDPOINT_URL>/JSONRPCHTTP+JSONJSONRPC{agent_name}_agent_card.json using the detected agent name in snake_caseAfter writing the file, validate it by running this Python script via Bash:
python3 -c "
import json
import sys
file_path = '<OUTPUT_FILE_PATH>'
# Step 1: JSON format check
try:
with open(file_path) as f:
card = json.load(f)
print('PASS: Valid JSON format')
except json.JSONDecodeError as e:
print(f'FAIL: Invalid JSON - {e}')
sys.exit(1)
# Step 2: Required top-level fields
errors = []
TOP_LEVEL_REQUIRED = ['name', 'description', 'version', 'supportedInterfaces', 'capabilities', 'defaultInputModes', 'defaultOutputModes', 'skills']
for field in TOP_LEVEL_REQUIRED:
if field not in card:
errors.append(f'Missing required top-level field: {field}')
elif field in ('name', 'description', 'version') and not isinstance(card[field], str):
errors.append(f'{field} must be a string')
elif field in ('defaultInputModes', 'defaultOutputModes', 'skills', 'supportedInterfaces') and not isinstance(card[field], list):
errors.append(f'{field} must be an array')
elif field == 'capabilities' and not isinstance(card[field], dict):
errors.append(f'{field} must be an object')
# Step 3: Validate supportedInterfaces entries
INTERFACE_REQUIRED = ['url', 'protocolBinding', 'protocolVersion']
for i, iface in enumerate(card.get('supportedInterfaces', [])):
for field in INTERFACE_REQUIRED:
if field not in iface:
errors.append(f'supportedInterfaces[{i}] missing required field: {field}')
binding = iface.get('protocolBinding', '')
if binding and binding not in ('JSONRPC', 'GRPC', 'HTTP+JSON'):
errors.append(f'supportedInterfaces[{i}].protocolBinding must be JSONRPC, GRPC, or HTTP+JSON, got: {binding}')
if not card.get('supportedInterfaces'):
errors.append('supportedInterfaces must have at least one entry')
# Step 4: Validate skills entries
SKILL_REQUIRED = ['id', 'name', 'description', 'tags']
for i, skill in enumerate(card.get('skills', [])):
for field in SKILL_REQUIRED:
if field not in skill:
errors.append(f'skills[{i}] missing required field: {field}')
if 'tags' in skill and not isinstance(skill['tags'], list):
errors.append(f'skills[{i}].tags must be an array')
# Step 5: Validate defaultInputModes/defaultOutputModes are non-empty
if not card.get('defaultInputModes'):
errors.append('defaultInputModes must have at least one entry')
if not card.get('defaultOutputModes'):
errors.append('defaultOutputModes must have at least one entry')
# Step 6: Validate provider if present
if 'provider' in card and card['provider'] is not None:
for field in ('organization', 'url'):
if field not in card['provider']:
errors.append(f'provider missing required field: {field}')
# Step 7: Report results
if errors:
print(f'FAIL: {len(errors)} validation error(s):')
for e in errors:
print(f' - {e}')
sys.exit(1)
else:
skill_count = len(card.get('skills', []))
iface_count = len(card.get('supportedInterfaces', []))
print(f'PASS: All mandatory fields present ({iface_count} interface(s), {skill_count} skill(s))')
"Replace <OUTPUT_FILE_PATH> with the actual path of the generated JSON file.
If validation fails, fix the errors in the JSON and re-run validation until all checks pass. Do NOT report success to the user until validation passes.
After validation passes, output results in EXACTLY this format:
Validation passed. Here's a summary of the generated agent card:
Output file: <filename>.json
Detected from code:
- Agent name: <AgentName> (from <how it was detected, e.g. Strands agent with BedrockAgentCoreApp>)
- Skills: <count> - <skill_id> (<brief description>), <skill_id> (<brief description>), ...
- Protocol: <HTTP+JSON or JSONRPC> (<why, e.g. uses BedrockAgentCoreApp on port 8080>)
- Auth: <auth mechanisms detected, e.g. IAM/SigV4 (default) + Cognito JWT (optional)>
- Streaming: <true or false>
- Endpoint URL: <source, e.g. From .bedrock_agentcore.yaml - uses the my_agent deployment ARN (account ..., region ...)> or <Placeholder used - no deployment config found>If validation fails, show the errors first, fix them, re-validate, and only show the summary above after all checks pass.
Use this as a structural reference (from simple-a2a-agent):
{
"name": "SimpleCalculatorAgent",
"description": "A simple calculator agent that can evaluate mathematical expressions.",
"version": "1.0.0",
"supportedInterfaces": [
{
"url": "https://bedrock-agentcore.us-east-1.amazonaws.com/runtimes/<encoded-arn>/invocations/",
"protocolBinding": "JSONRPC",
"protocolVersion": "1.0"
}
],
"capabilities": {
"streaming": true,
"pushNotifications": false
},
"defaultInputModes": ["text/plain"],
"defaultOutputModes": ["text/plain"],
"skills": [
{
"id": "calculator",
"name": "Calculator",
"description": "Evaluate a mathematical expression and return the result.",
"tags": ["math", "calculator", "arithmetic"],
"examples": [
"What is 42 * 17?",
"Calculate the square root of 144",
"What is 15% of 200?"
]
}
]
}© agentic-community, Apache-2.0. 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 .claude/skills/generate-agent-card of agentic-community/mcp-gateway-registry.
Open the folder on GitHubat commit ec3a197
Generate Agent Card 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 |
|---|---|---|---|---|---|---|
| Generate Agent Card this skillagentic-community/mcp-gateway-registry | 967 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Researching With Deepwikiaiskillstore/marketplace | 430 | — | ~1.2k | Automated safety check: Pass | None | |
| Skill Seekers Builderyusufkaraaslan/Skill_Seekers | 15k | — | ~760 | Automated safety check: Pass | MIT | |
| Read GitHubAgentTeam-TaichuAI/ScienceClaw | 671 | 2 repos | ~638 | Automated safety check: Pass | None | |
| MCP Apps Builderawslabs/cli-agent-orchestrator | 1.4k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Releasejgravelle/jcodemunch-mcp | 2.7k | — | ~6.5k | Automated safety check: Pass | Custom licence |
aiskillstore/marketplace
Research GitHub, GitLab, and Bitbucket repositories using DeepWiki MCP server.
yusufkaraaslan/Skill_Seekers
Detects the type of a knowledge source and uses the Skill Seekers MCP tools to turn docs, repos, PDFs or videos into packaged AI skills.
AgentTeam-TaichuAI/ScienceClaw
Read and search GitHub repository documentation via gitmcp.io MCP service.
awslabs/cli-agent-orchestrator
Load the official MCP Apps builder skills (create-mcp-app, migrate-oai-app, add-app-to-server, convert-web-app) from github.com/modelcontextprotocol/ext-apps.
jgravelle/jcodemunch-mcp
Publishing a jMunch release (jcodemunch-mcp, jdocmunch-mcp, jdatamunch-mcp, jragmunch-cli), reviewing/merging/closing PRs, and responding to the community.
ArcadeAI/arcade-mcp
Prepare arcade-mcp changes for review by verifying intended behavior, filling the repository PR template, and creating or updating the PR.
agentic-community/mcp-gateway-registry
Explain a GitHub issue or pull request at 100, 200, and 300 level.
agentic-community/mcp-gateway-registry
Debug issues in the MCP Gateway Registry using first-principles thinking.
agentic-community/mcp-gateway-registry
Keep Terraform and CDK infrastructure in sync. An agent skill from agentic-community/mcp-gateway-registry.
agentic-community/mcp-gateway-registry
Generate a search quality benchmark for the AI Registry. An agent skill from agentic-community/mcp-gateway-registry.
agentic-community/mcp-gateway-registry
Write prose people will actually read. An agent skill from agentic-community/mcp-gateway-registry.
agentic-community/mcp-gateway-registry
Given an MCP server URL, probe the server via curl to discover its metadata and tools, then generate a markdown file with copy-pasteable content for each field in the Amazon Bedrock AgentCore…
Works with
Categories
Generate an A2A agent card JSON by analyzing agent source code in a folder or GitHub URL. Generate Agent Card is an agent skill from agentic-community/mcp-gateway-registry. Generate an A2A agent card JSON by analyzing agent source code in a folder or GitHub URL.
Generate Agent Card fits situations like: tasks that involve MCP servers.
Run `npx skills add agentic-community/mcp-gateway-registry --skill generate-agent-card -a claude-code`. Or copy the skill folder (.claude/skills/generate-agent-card in agentic-community/mcp-gateway-registry) into .claude/skills/generate-agent-card in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentic-community/mcp-gateway-registry --skill generate-agent-card -a codex`. Or copy the skill folder (.claude/skills/generate-agent-card in agentic-community/mcp-gateway-registry) into .agents/skills/generate-agent-card 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 agentic-community/mcp-gateway-registry --skill generate-agent-card -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generate-agent-card, .gemini/skills/generate-agent-card, .github/skills/generate-agent-card and .opencode/skills/generate-agent-card in your project.
Going by SKILL.md and its folder, Generate Agent Card needs the command-line tools its instructions call (python3). Our summary lists: Python 3; Docker.
SKILL.md names 2 domains. In commands or code: bedrock-agentcore.us-east-1.amazonaws.com; the agent is likely to contact it when it follows the instructions. As links in the text: a2a-protocol.org. 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.
Generate Agent Card is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k 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 Generate Agent Card: Researching With Deepwiki (aiskillstore/marketplace, 430 stars), Skill Seekers Builder (yusufkaraaslan/Skill_Seekers, 15k stars), Read GitHub (AgentTeam-TaichuAI/ScienceClaw, 671 stars) and MCP Apps Builder (awslabs/cli-agent-orchestrator, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentic-community (a GitHub organization) maintains it in agentic-community/mcp-gateway-registry, which has 967 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.
Source: agentic-community/mcp-gateway-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.