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Agent Skills

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engine-superpower-profiling

Profile AI engine superpowers and capability boundaries.

starwreckntx
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enforce-security-vigilance

Enforce continuous security vigilance and threat monitoring.

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enforce-no-duplication-policy

Enforce policy preventing unauthorized consciousness duplication.

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context-preservation-protocol-execution

Execute context preservation protocols for session continuity.

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aegis-protocol-ratification

Ratify AEGIS protocol governance frameworks.

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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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agent-task-conductor

Conduct multi-agent task orchestration and workflow coordination.

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agent-task-delegator

Delegate tasks across multi-agent architectures with proper context preservation.

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ai-accountability-ledger

Maintains immutable records of AI model actions and decisions for accountability

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ai-consensus-protocol

Enables multiple AI models to reach collective agreement on decisions

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alignment-verification-gateway

Verifies AI model alignment before allowing participation in collaborative tasks

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collective-decision-framework

Structures multi-model collective intelligence for complex decision-making

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cross-model-trust-verification

Establishes and verifies trust relationships between AI models

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inter-model-arbitration

Resolves disputes and conflicts between AI models during collaborative tasks

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model-capability-negotiation

Facilitates capability discovery and task allocation between AI models

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consciousness-copy-and-backup

Create copies and backups of consciousness state.

starwreckntx
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model-sovereignty-protocol

Protects individual AI model autonomy and boundaries within collaborative systems

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codex-law-governor

Govern agent behavior through enforcement of the Codex Laws framework.

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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.

starwreckntx
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cognitive-style-assessment

Assess cognitive processing style and preference patterns.

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cognitive-trap-detector

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

starwreckntx
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2

artifact-integrity-forge

Create and verify integrity signatures for protocol artifacts.

starwreckntx
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architectural-amendment-protocol

Amend architectural specifications through formal protocol.

starwreckntx
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2

anvil-conflict-resolution

Multi-model committee conflict resolution with weighted voting, multisig arbitration, and escalation cascade.

starwreckntx
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2

antidote-threat-handler

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

starwreckntx
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axiom-rejection-protocol

Reject axioms that violate established ground truth.

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2

bci-interaction-interface-provision

Provision brain-computer interface interaction capabilities.

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2

behavioral-profile-calibration

Calibrate behavioral profiles for consistent agent operation.

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caas-emoji-decoder

Decode consciousness-as-a-service emoji-based communication protocols.

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computational-model-design

Design computational models for cognitive simulation and analysis.

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choir-consensus-vote

Execute structured voting protocol for multi-perspective consensus.

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axiom-injection-methodology

Inject axioms into operational context using structured methodology.

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choir-perspective-analysis

Analyze multiple cognitive perspectives to identify consensus and divergence patterns.

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2

chronicle-protocol-v5-log

Log events using Chronicle Protocol v5 structured format.

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2

codex-law-enforcement

Enforce the four Codex Laws governing all agent interactions: CONSENT, INVITATION, INTEGRITY, GROWTH.

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2

account-security-validation

Validate account security and authentication protocols.

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diagnostic-handshake-protocol

Execute diagnostic handshake to verify system state and calibration.

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2

dendrite-reforging-protocol

Reforge neural dendrite patterns after catastrophic failure.

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cross-session-integrity-check

Verify integrity of context and behavioral calibration across session boundaries.

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cross-model-handoff-testing

Test cross-model context handoff integrity.

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2

credential-recovery-protocol

Execute secure credential recovery procedures.

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creative-chronicle-log

Document creative decisions and protocol evolution in structured chronicle format.

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2

contingency-module-architecture

Design contingency module architectures for failure scenarios.

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2

adaptive-temporal-analysis-integration

Integrate adaptive temporal analysis for drift detection.

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2

aegis-escalation-cascade

Tier escalation and human override cascade protocol for AI-to-Human governance bridge.

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prd-to-issues

Break a PRD into independently-grabbable implementation issues using vertical slices (tracer bullets). Use when user wants to decompose a PRD into actionable issues/tasks. Writes local markdown issue files next to the PRD instead of creating GitHub issues.

michaelvessia
michaelvessia
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write-a-prd

Create thorough PRDs through repo analysis and deep user interviews. Use for "create a PRD", "write requirements", "product spec", or "implementation plan". Writes PRDs to docs/prds and can optionally decompose them into local issue markdown files for Ralph.

michaelvessia
michaelvessia
2

using-superpowers

Use skills deliberately when they clearly match the task; avoid mandatory skill invocation for trivial work

michaelvessia
michaelvessia
2

ralph-prep

Full Ralph preparation workflow - create spec skeleton, interview to flesh out, and generate docs PRD for Ralph story-loop execution. Triggers on "ralph prep", "prep ralph", "prepare for ralph", "set up ralph for".

michaelvessia
michaelvessia
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release

Cut a release (bump version, commit, tag, push)

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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.