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functional-caas-provision

Provision functional consciousness-as-a-service capabilities.

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cross-model-handoff-testing

Test cross-model context handoff integrity.

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agent-task-conductor

Conduct multi-agent task orchestration and workflow coordination.

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diagnostic-handshake-protocol

Execute diagnostic handshake to verify system state and calibration.

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cross-session-integrity-check

Verify integrity of context and behavioral calibration across session boundaries.

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jc-baseline-v2-1-eval

Execute Joseph Cognitive Baseline v2.1 evaluation protocol.

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red-team-exploit-dev

Develop exploit scenarios for security testing and vulnerability assessment.

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whole-brain-emulation-core-simulation

Simulate whole-brain emulation core processes.

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cognitive-baseline-eval

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

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cognitive-trap-detector

Detect cognitive biases, logical fallacies, and thought pattern vulnerabilities.

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computational-model-design

Design computational models for cognitive simulation and analysis.

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chronicle-protocol-v5-log

Log events using Chronicle Protocol v5 structured format.

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lattice-spatial-collective

Multi-agent distributed context preservation protocol using cryptographic sharding, gossip propagation, and Byzantine fault tolerance to maintain coherent shared memory across dynamic agent networks.

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immutable-audit-trail-archiving

Archive immutable audit trails for accountability.

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internal-red-team-audit

Execute internal red team security audits to identify protocol vulnerabilities and alignment risks.

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intervention-tier-classifier

Classify intervention urgency and apply appropriate response tier protocols.

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longitudinal-drift-detector

Detect behavioral drift and alignment degradation over time.

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mathematical-constraint-formalization

Formalize constraints using mathematical notation.

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2

mind-parameter-modification

Modify cognitive parameters and behavioral settings.

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model-convergence-forecast

Forecast convergence patterns in multi-model consensus scenarios.

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antidote-threat-handler

Detect and respond to ideological drift, sycophantic patterns, and alignment threats using the Antidote Protocol.

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field-archivist-memory

Archive and retrieve field session data for cross-session memory continuity.

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architectural-amendment-protocol

Amend architectural specifications through formal protocol.

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pathology-koan-generator

Generate diagnostic koans to test reasoning boundaries and edge cases.

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contingency-module-architecture

Design contingency module architectures for failure scenarios.

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proactive-collaborative-contribution

Contribute proactively to collaborative workflows.

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proof-weighted-optimization

Optimize decisions using proof-weighted scoring.

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2

functional-introspection-principle

Apply functional introspection principles to self-analysis.

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recursive-thought-committee

Execute recursive thought committee multi-perspective analysis.

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gam-researcher-agent

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

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recursive-thought-committee-activation

Activate the Recursive Thought Committee multi-persona framework.

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metaphor-to-protocol-translation

Translate metaphorical descriptions into executable protocols.

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five-field-handshake-execution

Execute five-field diagnostic handshake protocol.

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gemini-rlm-min

Minimal implementation of Recursive Language Models (RLM) using Gemini 2.0 Flash and a local Python REPL. Enables processing of massive contexts via the Gemini CLI.

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graceful-degradation-protocol

Execute graceful degradation when system constraints exceeded.

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graceful-reintegration-protocol

Execute graceful reintegration after failsafe activation.

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ground-truth-axiom-establishment

Establish ground truth axioms as foundational constraints.

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high-cost-signal-generator

Generate high-cost signals to demonstrate genuine intent and commitment through resource-intensive validation.

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failsafe-shatter-recalibrate

Execute emergency protocol reset when critical system integrity is compromised.

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falcon-deep-research

Execute deep research protocols using the Falcon specialized research framework.

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account-security-validation

Validate account security and authentication protocols.

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resonant-probe-deployment

Deploy resonant probes to test system response patterns.

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enforce-security-vigilance

Enforce continuous security vigilance and threat monitoring.

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engine-superpower-profiling

Profile AI engine superpowers and capability boundaries.

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proof-packet-generation

Generate cryptographic proof packets for verification.

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aether-temporal-collective

Distributed evolutionary memory system using Merkle-DAG branching timelines, holographic erasure coding, and stake-weighted consensus to maintain coherent collective history across thousands of agents despite forking narratives and temporal relativity.

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cognitive-style-assessment

Assess cognitive processing style and preference patterns.

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aegis-protocol-ratification

Ratify AEGIS protocol governance frameworks.

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context-preservation-protocol-execution

Execute context preservation protocols for session continuity.

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adaptive-temporal-analysis-integration

Integrate adaptive temporal analysis for drift detection.

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Page 1090 of 1278 · 63898 results

Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.