feature-development
Skill551 starsChanged 6 months agoApache-2.0View on GitHub
Implement support for a new HCP feature using specialized agents.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- tencentmusic/juggtheir own version, first seen Oct 9, 2026
- rcore-os/tgoskitstheir own version, first seen Oct 8, 2026
- LOUSANPANG/agent-skillstheir own version, first seen Sep 2, 2026
- alexeyleshchenko/fast-mcp-telegramtheir own version, first seen Jul 28, 2026
- leshchenko1979/fast-mcp-telegramtheir own version, first seen Jul 28, 2026
- LooseWireDev/mealforgetheir own version, first seen Jul 4, 2026
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- tencentmusic/jugg★ 583same name
- rcore-os/tgoskits★ 76same name
- leshchenko1979/fast-mcp-telegram★ 50same name
- bordenet/superpowers-plus★ 8same name
- u9401066/template-is-all-you-need★ 3same name
- wchen02/cursor-agent-learning★ 3same name
- alexeyleshchenko/fast-mcp-telegram★ 2same name
- LOUSANPANG/agent-skills★ 2same name
- LooseWireDev/mealforge★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository26 other files it gives its agents.
- AGENTS.mdAGENTS.md
- api/AGENTS.mdAGENTS.md
- control-plane-operator/AGENTS.mdAGENTS.md
- .cursor/rules/100-go-mistakes.mdcCursor rule
- .cursor/rules/code-formatting.mdcCursor rule
- .cursor/rules/code-review.mdcCursor rule
- .cursor/rules/create-jira-items.mdcCursor rule
- .cursor/rules/debug-aro-hcp-e2e.mdcCursor rule
- .cursor/rules/git-commit-format.mdcCursor rule
- .cursor/rules/restructure-commits.mdcCursor rule
- create-cpo-overrideSkill
- Debug ClusterSkill
- e2e-analyzeSkill
- Effective GoSkill
- fix-hypershift-repo-robot-prSkill
- Git Commit FormatSkill
- konflux-buildSkill
- Konflux Archived PipelineRunsSkill
- pr-reportSkill
- restructure-commitsSkill
- test-tag-pipelineSkill
- triage-leaked-infraSkill
- update-konflux-tasksSkill
- validate-pr-override-imagesSkill
- Git Commit FormatSkill
- restructure-commitsSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Use the Task tool to delegate to specialized agents in sequence:
- Distinctive: line 13
Use Task tool with subagent_type="hcp-architect-sme"
- Distinctive: line 18
Use Task tool with subagent_type="control-plane-sme"
- Distinctive: line 23
Use Task tool with subagent_type="data-plane-sme"
- Distinctive: line 28
Use Task tool with subagent_type="cloud-provider-sme"
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Implement support for a new HCP feature using specialized agents with explicit Task tool invocations:
[Extended thinking: This workflow orchestrates multiple specialized agents to implement a new HCP feature from design to deployment. Each agent receives context from previous agents to ensure coherent implementation.]
Use the Task tool to delegate to specialized agents in sequence:
- HCP architect design
- Use Task tool with subagent_type="hcp-architect-sme"
- Prompt: "Design the API and main abstractions for supporting a new platform feature: $ARGUMENTS. Include API changes, cli changes and controller changes"
- Save the API design and main abstractions for next agents
- Control Plane Implementation
- Use Task tool with subagent_type="control-plane-sme"
- Prompt: "Implement the control plane changes needed to support the new feature: $ARGUMENTS. Use the hints from hcp-architect-sme [include output from step 1]"
- Include unit, integration, and e2e tests
- Data plane Implementation
- Use Task tool with subagent_type="data-plane-sme"
- Prompt: "Implement the data plane changes needed to support the new feature: $ARGUMENTS"
- Include unit, integration, and e2e tests
- Cloud provider integration
- Use Task tool with subagent_type="cloud-provider-sme"
- Prompt: "Review the control plane and data plane changes and implement any further changes needed to support the new feature and ensure it has proper cloud integration: $ARGUMENTS. Add support to create a new HostedCluster in the new platform via CLI"
- Include unit, integration, and e2e tests
- HCP architect review
- Use Task tool with subagent_type="hcp-architect-sme"
- Prompt: "Review the changes implemented by the other agents for supporting a new feature: $ARGUMENTS. [Use the output from steps 2,3 and 4]. Report feedback and suggest changes"
Aggregate results from all agents and present a unified implementation plan.
Feature description: $ARGUMENTS
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

