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refactor(cli)!: rename all skills and agents to consistent ce- prefix (#503)
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Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Trevin Chow
2026-04-18 15:44:22 -07:00
committed by GitHub
parent 49249d7317
commit 5c0ec9137a
233 changed files with 3199 additions and 936 deletions
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plugins/compound-engineering/skills/ce-optimize/SKILL.md
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@@ -218,7 +218,7 @@ Check whether the input is:
### 0.3 Search Prior Learnings
Dispatch `compound-engineering:research:learnings-researcher` to search for prior optimization work on similar topics. If relevant learnings exist, incorporate them into the approach.
Dispatch `research:ce-learnings-researcher` to search for prior optimization work on similar topics. If relevant learnings exist, incorporate them into the approach.
### 0.4 Run Identity Detection
@@ -373,7 +373,7 @@ Read the code within `scope.mutable` to understand:
- Obvious improvement opportunities
- Constraints and dependencies between components
Optionally dispatch `compound-engineering:research:repo-research-analyst` for deeper codebase analysis if the scope is large or unfamiliar.
Optionally dispatch `research:ce-repo-research-analyst` for deeper codebase analysis if the scope is large or unfamiliar.
### 2.2 Generate Hypothesis List
@@ -640,8 +640,8 @@ The experiment log and strategy digest remain in local `.context/...` scratch sp
Present post-completion options via the platform question tool:
1. **Run `/ce:review`** on the cumulative diff (baseline to final). Load the `ce:review` skill with `mode:autofix` on the optimization branch.
2. **Run `/ce:compound`** to document the winning strategy as an institutional learning.
1. **Run `/ce-code-review`** on the cumulative diff (baseline to final). Load the `ce-code-review` skill with `mode:autofix` on the optimization branch.
2. **Run `/ce-compound`** to document the winning strategy as an institutional learning.
3. **Create PR** from the optimization branch to the default branch.
4. **Continue** with more experiments: re-enter Phase 3 with the current state. State re-read first.
5. **Done** -- leave the optimization branch for manual review.