doc: add README with project introduction and glossary#1
doc: add README with project introduction and glossary#1feloy merged 1 commit intokortex-hub:mainfrom
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📝 WalkthroughWalkthroughAdded README.md documentation for the kortex-cli project, including an introduction, list of supported agents (Claude Code, Goose, Cursor), key features overview (custom skills, MCP connections, LLM integration), and a glossary of terms. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes 🚥 Pre-merge checks | ✅ 3✅ Passed checks (3 passed)
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🧹 Nitpick comments (2)
README.md (2)
7-12: Add source links for each supported agent.At Line 9, Line 10, and Line 11, consider linking each agent name to its official documentation/repository to reduce ambiguity and prevent stale naming over time.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@README.md` around lines 7 - 12, Update the "Supported Agents" list to link each agent name to its authoritative documentation or repository: replace the plain text "Claude Code", "Goose", and "Cursor" entries with markdown links pointing to their official URLs (e.g., Anthropic/Claude docs or CLI repo for Claude Code, the Goose project repo/docs, and the Cursor official site/repo). Ensure the link text remains the agent name (e.g., [Claude Code](URL)) and choose stable canonical URLs (official docs, GitHub repos, or company pages) to avoid stale references.
13-19: Add one concrete usage example for the listed features.The feature list is useful, but adding a minimal CLI example (e.g., one command showing agent + skills + MCP config) would make onboarding much faster.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@README.md` around lines 13 - 19, Add a concrete minimal usage example to the README showing how to configure an agent with custom skills, connect to an MCP server, and specify an LLM provider via a single CLI command; include the command invocation, brief description of flags (agent name, --skills, --mcp-url, --llm-provider) and a one-line expected outcome so readers can copy-paste to try "agent + skills + MCP config" quickly.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Nitpick comments:
In `@README.md`:
- Around line 7-12: Update the "Supported Agents" list to link each agent name
to its authoritative documentation or repository: replace the plain text "Claude
Code", "Goose", and "Cursor" entries with markdown links pointing to their
official URLs (e.g., Anthropic/Claude docs or CLI repo for Claude Code, the
Goose project repo/docs, and the Cursor official site/repo). Ensure the link
text remains the agent name (e.g., [Claude Code](URL)) and choose stable
canonical URLs (official docs, GitHub repos, or company pages) to avoid stale
references.
- Around line 13-19: Add a concrete minimal usage example to the README showing
how to configure an agent with custom skills, connect to an MCP server, and
specify an LLM provider via a single CLI command; include the command
invocation, brief description of flags (agent name, --skills, --mcp-url,
--llm-provider) and a one-line expected outcome so readers can copy-paste to try
"agent + skills + MCP config" quickly.
benoitf
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hello, I'm not sure about goose agent ?
AFAIK Claude, gemini and cursor CLI yes
@slemeur wdyt? |
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will require a rebase (some checks are pending) |
Created README.md for kortex-cli with: - Project title and introduction explaining the CLI's purpose - List of supported agents (Claude Code, Goose, Cursor) - Key features including skills, MCP servers, and LLM integrations - Glossary defining important terms (Agent, LLM, MCP, Skills) Co-Authored-By: Claude Code (Claude Sonnet 4.5) <noreply@anthropic.com> Signed-off-by: Philippe Martin <phmartin@redhat.com>
Created README.md for kortex-cli with:
(100% generated using Claude Code inside container)