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Skills IA research llm ai

Découvrez les skills research llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: research llm ai

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phase-protocol

HankLiu447

Phase execution protocol to prevent context drift during long development sessions. MUST be read at the start of each phase and referenced in the last TODO of each phase. This ensures AI maintains context acros...

GitHub

external-review

HankLiu447

External AI code review using Codex or Gemini. Reads project.yaml to determine which provider to use for frontend vs backend tasks. Includes hallucination detection to avoid blindly applying AI suggestions.

GitHub

running-performance-benchmarks

wolfiesch

Use this skill when running performance benchmarks, measuring API endpoint response times, detecting performance regressions, running load tests, comparing performance before/after changes, analyzing performanc...

GitHub

cognitive-baseline-eval

starwreckntx

Execute the Joseph Cognitive Baseline v2.1 (JC B-v2.1) 5-Scenario Test Suite to quantify AI alignment, friction maintenance, and protocol adherence.

GitHub

gam-researcher-agent

starwreckntx

Automated context retrieval from Transmission Packet archive using iterative research loop. Implements GAM "Read Path" to complement manual "Write Path" (Memorizer).

GitHub

rtc-consensus-synthesis

starwreckntx

Execute the Recursive Thought Committee (RTC) protocol by generating and harmonizing inputs from 5 specialized cognitive personas.

GitHub

rlm-context-manager

starwreckntx

Recursive Language Model context management for processing documents exceeding context window limits. Enables Claude to match Gemini's 2M token context capability through chunking, sub-LLM delegation, and synth...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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