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Claude Skills by tonone-ai

github.com/tonone-ai
425 skillsA× 424B× 15 installs122 views
Terra DriftA

Design a Terraform drift detection and remediation workflow.

devopsbashterraform
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44
Terra ModuleA

Design a Terraform module structure — inputs, outputs, resource organization, and versioning.

devopsbashterraform
0
44
Terra ReconA

Audit existing Terraform code — find state issues, security gaps, and module quality problems.

testing-securitybashterraform
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44
Token BudgetA

Design token budgets — system/user/assistant allocation, overflow handling, context compression.

business
0
44
Token ChunkA

Design chunking strategies — semantic splitting, overlap tuning, retrieval-aware chunk sizing.

business
0
44
Token ReconA

Audit token usage patterns — avg context size, waste, truncation frequency, budget adherence.

business
0
44
Tone ReconA

Audit existing token usage in a codebase — find literal values, missing tokens, and pipeline gaps.

toolsbash
0
44
Tone ThemeA

Build or fix a theming system — dark mode, multi-brand, or white-label token swap.

toolsbash
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44
Tone TokenA

Design or refactor a design token architecture — naming, tiers, and coverage.

databasesbash
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44
Trace DebugA

Debug AI system behavior using traces — prompt reconstruction, output comparison, failure attribution.

data-ai
0
44
Trace InstrumentA

Instrument LLM calls with tracing — span structure, token counts, latency, model metadata.

data-ai
0
44
Trace ReconA

Audit LLM observability coverage — trace gaps, logging completeness, cost attribution accuracy.

data-ai
0
44
Tune FinetuneA

Design a fine-tuning pipeline — PEFT config, dataset format, training loop, and evaluation.

data-aibash
0
44
Tune PromptA

Systematically optimize prompts for a task — few-shot, chain-of-thought, structured output.

data-aibash
0
44
Tune ReconA

Audit existing fine-tuning or prompt engineering work — find quality gaps and optimization opportunities.

data-aibash
0
44
Vect EmbedA

Design an embedding pipeline — model selection, chunking, and indexing strategy.

data-aibash
0
44
Vect ReconA

Audit existing vector search or RAG implementation — find quality gaps and performance issues.

data-aibashperformance
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44
Vect SearchA

Design a vector search or RAG system — retrieval strategy, reranking, and database selection.

data-aibashdatabase
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44
Wire PrototypeA

Document a prototype or user flow — screens, states, transitions, and annotations.

documentationbash
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44
Wire ReconA

Audit existing design documentation — find gaps in specs, missing states, and handoff debt.

documentationbashdocumentation
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44
Wire SpecA

Write a developer handoff spec for a component or feature — states, tokens, edge cases.

developmentbash
0
44
Zero AuditA

Audit an existing environment against zero trust principles — find implicit trust and over-privileged access.

businessrustbash
0
44
Zero DesignA

Design a zero trust architecture — phased roadmap, identity pillar, and network segmentation.

businessrustbash
0
44
Zero ReconA

Survey existing network and identity controls for zero trust readiness.

researchrustbash
0
44
SKILL NAMEA

SKILL_DESCRIPTION

data-ai
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44