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content media llm ai AI Skills

Discover content media llm ai skills, compare source repositories and read the instructions for each workflow.

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random-walk-fusion

plurigrid

Navigate skill graphs via deterministic random walks. Fuses derivational chains, algebraic structure, color determinism, and bidirectional flow for skill recombination.

GitHub

skill-specification

plurigrid

Agent Skills formal specification for cross-platform compatibility. Ensures skills are evolutionarily robust across Claude, Codex, Cursor, Amp, and future agents.

GitHub

say-narration

plurigrid

Use macOS text-to-speech for agent narration and announcements. Sub-agents announce themselves using different language voices speaking English. Use for multi-agent workflows where each agent has a distinct voi...

GitHub

gmail-anima

plurigrid

Gmail inbox management via ANIMA condensation. Transforms messages into GF(3)-typed Interactions, routes to triadic queues, detects saturation for inbox-zero-as-condensed-state. Use for email triage, workflow a...

GitHub

accept-no-substitutes

plurigrid

This skill should be used when agents generate placeholder tokens like "pseudo-", "mock-", "temporary", "TODO", "demo-", or similar incompleteness markers. Detects substitution patterns in agent OUTPUT and trig...

GitHub

alife

plurigrid

Comprehensive Artificial Life skill combining ALIFE2025 proceedings,

GitHub

sdr-borges-reafference

plurigrid

SDR (GNU Radio) as self-learning REPL with Borges infinite library exploration, reafference random walks, spectral gap 1/4, and maximally mixed state for agency-enabling signal processing.

GitHub

unison-acset

plurigrid

Unison language ACSet-structured skill with hierarchical documentation parsing, SPI trajectory recording, and 1069 skill predictions from zubuyul seed.

GitHub

julia-scientific

plurigrid

Julia package equivalents for 137 K-Dense-AI scientific skills. Maps Python bioinformatics, chemistry, ML, quantum, and data science packages to native Julia ecosystem.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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