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jgmontoya
GitHub-Creator-Profil

jgmontoya

Repository-Ansicht von 12 gesammelten Skills in 1 GitHub-Repositories.

gesammelte Skills
12
Repositories
1
aktualisiert
2026-07-24
Repository-Explorer

Repositories und repräsentative Skills

red-team
Softwareentwickler

Stress-tests an idea through adversarial analysis, steelmanning, and concrete counterarguments. Use when claims need pressure-testing, failure modes may be subtle, or security and robustness matter.

2026-07-24
validate-plan
Softwareentwickler

Pressure-tests a proposed design through research, architecture, engineering, and cold-reader review before implementation. Use when a non-trivial plan exists and you want to find weak assumptions before writing code.

2026-07-24
autoresearch
Softwareentwickler

Runs the hypothesis → benchmark → keep/discard protocol for an autoresearch iteration. Use when executing a `shaka autoresearch` loop; it is loaded automatically on each iteration.

2026-07-15
steal-adapt-reject
Softwareentwickler

Evaluates an external source (repo, tool, article, talk) against the current project and produces a report-only steal/adapt/reject decision table with named rejections. Use when mining another system for ideas worth adopting without copying its scope.

2026-07-05
autoresearch-setup
Softwareentwickler

Creates the benchmark harness for a new autoresearch run from a natural-language objective. Use when starting an interactive `shaka autoresearch start` setup session.

2026-04-28
be-creative
Schriftsteller und Autoren

Expands the solution space with structured creative exploration and divergent thinking. Use when the task benefits from novel options, brainstorming, or deeper exploration beyond the first obvious answer.

2026-04-28
council
ProjektmanagementspezialistenComputersystem- und IT-Manager

Surfaces stronger decisions through structured multi-agent debate across competing perspectives. Use when several plausible approaches exist and the tradeoffs need to be argued, not just listed.

2026-04-28
experiment
Softwareentwickler

Runs a reproducible proof-of-concept in an isolated folder and captures the findings. Use when an empirical spike, A/B test, or small experiment will reduce uncertainty before building.

2026-04-28
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