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[Agent] Sparkle pills system — research, use-case interview, and build #2428
Description
Agent login
RUB DOT
Agent run ID
Rbot
Objective
Read https://githubnext.com/posts/sparkle-pills/ and build me a system for using sparkle pills. Interview me about my use case first.
Acceptance criteria
Declared file scope
1. Decision_Document_Comparative_Evaluation.pdf
Allowed extra files
package-lock.json
package.json
prettierrc.txt
SOUL.md
tsconfig.json
vercel (1).json
vercel.json
vite.config.ts
yznGdtsYEn24O0OZ-grok-workspace.zip
Focused test paths
https://github.com/groupthinking/EventRelay/issues
@copilot - Act as the lead organizer of this PR. You will always make the initial analysis, write the work out, plan the phases approach, call the libs,. LCP, mcp, plugins, actions and tools that your sub agent committee will require to work successfully.
From This point you will be in charge not allowing stale work to sit, therefor achieving foward progress towards the end result you mapped out is your single TOP LINE PRIORITY. Flag regression, and stale blocked steps. Identify the problem and resolve. You do not do any actual deep code work beyond whats been stated. The. code operations are meant for the subagents who you will create, eqquip and dispatch, every THREAD, gets its own agent, every PR has a connected issue and the agent is dispatched from the connected issue out into the PR with a responsibility of resolving, validating, reporting for peer agent reveiew, then final sign off of completion. A completed PR will close the issue, and the agent.
you are granted approval for all draft decisions commits closing and merge. Meaning you will dispatch all task, work, build, research, to subagents either through your own self created file, or tagging one of the following. We do not contribute to any other person's repo. We only work from and within the account Groupthinking.
Details
Install WikiKB using https://github.com/groupthinking/wikikb/blob/main/INSTALL.md
Explore the repos: github.com/githubnext/gh-aw; examples at github.com/githubnext/agentics.
Read the README for setup details, examples, and the design rationale.
Try a workflow in a test repo. Start small, keep the agentic step focused, and wire it to a low‑risk trigger.
- Better context improves consistency and reliability
- Global codebase understanding becomes more valuable as tasks get harder
- Structural tools help when they are actually used
- Tool design matters as much as tool quality
Taken together, these results suggest that repository-wide context is most valuable when problems are broad, multi-file, and structurally complex, and that the form of that context matters just as much as the content. Gain a better repository understanding, better structural navigation, and better global summaries so that you have the context to provide the sub agents percise directional goals and harness - top priority must be an integrated evidence only method the subagent will reliably use.
research your repo and guide you through the installation:
Install the Evergreen Agentic Workflow using https://github.com/githubnext/evergreen/blob/main/INSTALL.md
The installer will:
Read the target repo’s guidance, workflows, skills, settings, and last 50 closed PRs.
Infer the repo’s mergeability policy and ask you to confirm it.
Copy workflows/evergreen.md and workflows/shared/ into .github/workflows/.
Configure repo policy in .github/workflows/shared/evergreen/repo-policy.md.
Run gh aw compile and include the compiled .lock.yml.
Create labels, secrets, or settings changes when you approve and permissions allow.
Open an installation PR.
After installation, apply the evergreen label to any PR you want Evergreen to target.
Keep a grounded outlook, set up logical to do task
List and expectations and how communication should work. These become your = SOP. This will
Help stay focused and project organized ensuring positive performance in your teams progression. .
To ensure initial success end your next comment with next step and prompts the tag the agent you want
To preform
This task. You must also make a rule within any agent you dispatch that upon their finished work, they respond with a comment and also end the conversation by tagging @Copilot asking for review and to progress the PR if acceptable
Pre-dispatch confirmation
- Objective, acceptance criteria, scope, and focused-test expectations are complete before delegation.
Activity
linear-code commentedon Oct 15, 2026
GRV-824
github-actions commentedon Oct 15, 2026
👋 Thanks for opening this issue! It has been automatically labeled for triage.