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joshua-noel
Perfil de criador do GitHub

joshua-noel

Visão por repositório de 59 skills coletadas em 1 repositórios do GitHub.

skills coletadas
59
repositórios
1
atualizado
2026-07-12
explorador de repositórios

Repositórios e skills representativas

dependency-aware-scheduler
Desenvolvedores de software

Transform routed work into an executable dependency graph with critical path, checkpoints, and safe concurrency. Use when a request has prerequisites, phases, or cross-artifact dependencies.

2026-07-12
escalation-and-recovery
Desenvolvedores de software

Recover from blocked, failed, low-confidence, or contradictory work without losing completed value. Use when an agent cannot access a dependency or tool.

2026-07-12
parallel-work-coordinator
Desenvolvedores de software

Run independent work streams concurrently while preventing context drift, duplicated effort, and write conflicts. Use when several fragments have no blocking dependencies.

2026-07-12
result-integrator
Desenvolvedores de software

Merge specialist outputs into one coherent deliverable while preserving correctness, traceability, and user intent. Use when several agents return files, findings, or recommendations.

2026-07-12
work-delegator
Desenvolvedores de software

Assign each routed fragment to the most capable agent or skill with a bounded brief and explicit return contract. Use when a routing plan is ready for execution.

2026-07-12
artifact-delint
Desenvolvedores de software

Run a final cross-format quality pass that catches mechanical, visual, textual, structural, and packaging residue left by generated work. Use when a deliverable is ready to ship.

2026-07-12
code-deslop
Desenvolvedores de software

Remove AI-generated code artifacts that obscure intent, hide failure, duplicate logic, or pretend incomplete work is complete. Use when code contains narrative comments, catch-all fallbacks, unsafe casts, hallucinated imports, duplicate helpers, stubs, or oversized generated functions.

2026-07-12
design-pattern-detector
Designers de interfaces web e digitais

Detect repeated AI-default visual, structural, interaction, and copy patterns before they harden into a design. Use when a mockup, screenshot, design system, or ui implementation needs an anti-slop audit.

2026-07-12
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