obra/superpowers
Apr 2026 – May 2026
2 Months active
Languages Used
BashMarkdownbashGoHTMLJSONJavaScriptPython
Technical Skills
bash scriptingcode reviewdebuggingdocumentationfull stack developmentintegration
Jesse Vincent
PROFILE
Jesse Vincent
Contributed to the obra/superpowers repository by delivering a coordinated feature wave to standardize the eval and harness pipeline, streamline code review, and improve documentation clarity. Focused on integrating agent-neutral workflows, refining configuration management, and enhancing test coverage through automation and targeted bug fixes. Leveraged Python, Bash, and Go to implement cross-platform tooling, update platform listings, and decouple environment dependencies for improved maintainability. Addressed adversarial review findings to strengthen security and quality, while removing deprecated scripts and aligning documentation with current system behavior. These efforts reduced maintenance overhead and improved the reliability and usability of the skills subsystem and evaluation harness.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
63Total
Bugs
6
Commits
63
Features
22
Lines of code
54,032
Activity Months2
Your Network
44 peopleSame Organization
@primeradiant.com1
Shared Repositories
43
Work History
May 2026
56 Commits • 19 Features
May 1, 2026May 2026 monthly summary for obras/superpowers: Delivered a coordinated Phase A–E feature wave to standardize the eval/harness pipeline, improved configurability, and cleaned up tests/docs. Core work spanned agent-neutral prose pipeline, per-platform tool references, and platform listings, with targeted spec updates. Implemented cross-runtime tweaks and vocab for action-language tooling, and integrated the drill flow into evals. Also executed a security/quality drive by addressing adversarial-review findings and decoupling SUPERPOWERS_ROOT from environment/config, while pruning deprecated tests and documentation steps.
56 Commits • 19 Features
May 1, 2026May 2026 monthly summary for obras/superpowers: Delivered a coordinated Phase A–E feature wave to standardize the eval/harness pipeline, improved configurability, and cleaned up tests/docs. Core work spanned agent-neutral prose pipeline, per-platform tool references, and platform listings, with targeted spec updates. Implemented cross-runtime tweaks and vocab for action-language tooling, and integrated the drill flow into evals. Also executed a security/quality drive by addressing adversarial-review findings and decoupling SUPERPOWERS_ROOT from environment/config, while pruning deprecated tests and documentation steps.
May 2026
April 2026
7 Commits • 3 Features
Apr 1, 2026April 2026 (obra/superpowers): Focused on streamlining the skills subsystem, strengthening code-review quality, and tightening harness integration. Key outcomes include documentation cleanup for the skills system to remove legacy integration sections and clarify current user workflows; integration of the code-reviewer agent into the requesting-code-review skill to accelerate reviews and catch issues early; gating session transcripts for harness-related PRs to ensure correct auto-triggering and bootstrap loading; and targeted SDD integration test fixes to ensure assertions actually run and verify integration paths. These efforts reduce maintenance overhead, improve user-facing clarity, and improve reliability of end-to-end skill execution.
April 2026
7 Commits • 3 Features
Apr 1, 2026April 2026 (obra/superpowers): Focused on streamlining the skills subsystem, strengthening code-review quality, and tightening harness integration. Key outcomes include documentation cleanup for the skills system to remove legacy integration sections and clarify current user workflows; integration of the code-reviewer agent into the requesting-code-review skill to accelerate reviews and catch issues early; gating session transcripts for harness-related PRs to ensure correct auto-triggering and bootstrap loading; and targeted SDD integration test fixes to ensure assertions actually run and verify integration paths. These efforts reduce maintenance overhead, improve user-facing clarity, and improve reliability of end-to-end skill execution.
Activity
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Quality Metrics
Correctness98.8%
Maintainability95.2%
Architecture97.4%
Performance94.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
BashGoHTMLJSONJavaScriptMarkdownPythonShellTOMLTypeScript
Technical Skills
API DesignBash scriptingCI/CDCLI DevelopmentData ModelingDevOpsDockerDocumentationGitGoJSONJavaScriptLLM IntegrationLLM integrationProse Refinement
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline