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synaptent
Perfil de creador de GitHub

synaptent

Vista por repositorio de 4 skills recopiladas en 1 repositorios de GitHub.

skills recopiladas
4
repositorios
1
actualizado
2026-07-27
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Repositorios principales por número de skills recopiladas, con su participación en este catálogo del creador y su variedad ocupacional.

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Repositorios y skills representativas

consult-fable
Desarrolladores de software

Bounded advisory consult of Claude Fable 5 from inside the aragora repo. Use when you are stuck on prioritization ("what should I work on next?"), need a second opinion on a design or a reviewer deadlock, want a plan sanity-checked, or were asked to "ask Claude / Fable" something. Runs scripts/consult_claude.py with a per-attempt timeout and a derived total timeout, strict empty MCP config for CLI calls, and fail-closed backend attempts. Advice is input, not authority — it cannot approve merges, settle quorum, or override gates.

2026-07-27
fable-goal-cycle
Desarrolladores de software

Run one bounded goal cycle - package live repo + agent-activity context, consult Claude Fable 5 for ranked next goals, a one-cycle plan, and exactly one paste-ready next prompt, then execute that prompt. Use at the top of each autonomous conductor cycle, when asked "what should the next goal/prompt/plan be", or when running a looped adaptive mission. The response is strategy input, not authority - tier gates, quorum, and the operating contract still decide what merges.

2026-07-27
elves-aragora
Desarrolladores de software

Autonomous multi-batch development for the aragora repo, with every batch's validation gate bound to aragora's own governance — adversarial debate, a verifiable DecisionReceipt, and tier-appropriate settlement — instead of a bare test run. Use when the user says "run overnight", "I'm going offline", "implement this plan", "keep going without me", "do not stop", "I'll be back in the morning", or "run this end-to-end" while working inside aragora. Takes a plan, breaks it into sprint-sized batches, implements with tests, then gates each batch on a receipt-backed model quorum and the operating contract's auto-halt rules. Tier 0-2 batches can settle autonomously; Tier 3-4 always stop for human risk acceptance.

2026-06-23
pr-reviewer
Analistas de garantía de calidad de software y probadores

Multi-agent adversarial code review for pull requests

2026-03-21
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