GitHub Copilot SDK workflow skill. Use this skill when the user needs Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
GitHub Copilot SDK workflow skill. Use this skill when the user needs Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/copilot-sdk from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
GitHub Copilot SDK Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET.
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Prerequisites, Core Pattern: Client → Session → Message, Streaming Responses, Custom Tools, Hooks, MCP Server Integration.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
This skill is applicable to execute the workflow or actions described in the overview.
Use when the request clearly matches the imported source intent: Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across....
Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
Use when provenance needs to stay visible in the answer, PR, or review packet.
Use when copied upstream references, examples, or scripts materially improve the answer.
Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.
Operating Table
Situation
Start here
Why it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
SKILL.md
Starts with the smallest copied file that materially changes execution
Supporting context
SKILL.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
Use @copilot-sdk to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @copilot-sdk against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @copilot-sdk for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @copilot-sdk using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
Treat generated examples as scaffolding; adapt them to the concrete task before execution.
Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/copilot-sdk, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
@00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
Resource family
What it gives the reviewer
Example path
references
copied reference notes, guides, or background material from upstream
references/n/a
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
from copilot.generated.session_events import SessionEventType
session = await client.create_session({"model": "gpt-4.1", "streaming": True})
defhandle_event(event):
if event.type == SessionEventType.ASSISTANT_MESSAGE_DELTA:
sys.stdout.write(event.data.delta_content)
sys.stdout.flush()
session.on(handle_event)
await session.send_and_wait({"prompt": "Tell me a joke"})
Event Subscription
Method
Description
on(handler)
Subscribe to all events; returns unsubscribe function
on(eventType, handler)
Subscribe to specific event type (Node.js only)
Imported: Custom Tools
Define tools that Copilot can call to extend its capabilities.
Node.js
import { CopilotClient, defineTool } from"@github/copilot-sdk";
const getWeather = defineTool("get_weather", {
description: "Get the current weather for a city",
parameters: {
type: "object",
properties: { city: { type: "string", description: "The city name" } },
required: ["city"],
},
handler: async ({ city }) => ({ city, temperature: "72°F", condition: "sunny" }),
});
const session = await client.createSession({
model: "gpt-4.1",
tools: [getWeather],
});
Python
from copilot.tools import define_tool
from pydantic import BaseModel, Field
classGetWeatherParams(BaseModel):
city: str = Field(description="The city name")
@define_tool(description="Get the current weather for a city")asyncdefget_weather(params: GetWeatherParams) -> dict:
return {"city": params.city, "temperature": "72°F", "condition": "sunny"}
session = await client.create_session({"model": "gpt-4.1", "tools": [get_weather]})
Go
type WeatherParams struct {
City string`json:"city" jsonschema:"The city name"`
}
getWeather := copilot.DefineTool("get_weather", "Get weather for a city",
func(params WeatherParams, inv copilot.ToolInvocation) (WeatherResult, error) {
return WeatherResult{City: params.City, Temperature: "72°F"}, nil
},
)
session, _ := client.CreateSession(ctx, &copilot.SessionConfig{
Model: "gpt-4.1",
Tools: []copilot.Tool{getWeather},
})
.NET
var getWeather = AIFunctionFactory.Create(
([Description("The city name")] string city) => new { city, temperature = "72°F" },
"get_weather", "Get the current weather for a city");
awaitusingvar session = await client.CreateSessionAsync(new SessionConfig {
Model = "gpt-4.1", Tools = [getWeather],
});
Imported: Hooks
Intercept and customize session behavior at key lifecycle points.
