context-management-context-restore

Use when working with context management context restore

1.70x

Quality

11%

Does it follow best practices?

Impact

87%

1.70x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/context-management-context-restore/SKILL.md

Evaluation results

90%

41%

AI Research Assistant — Context Retrieval Module

Semantic context retrieval and relevance ranking

Criteria

Without context

With context

Similarity threshold 0.75

100%

top_k default of 5

25%

100%

Composite score: semantic_similarity

100%

Composite score: temporal_relevance

50%

100%

Composite score: historical_impact

25%

100%

Descending sort

100%

Post-search filtering step

100%

Multi-stage relevance

100%

Cosine similarity technique

100%

Multi-modal embedding support

100%

Restoration modes

RAG integration

30%

100%

Without context: $0.3435 · 2m · 11 turns · 60 in / 6,945 out tokens

With context: $0.6066 · 2m 44s · 22 turns · 21 in / 9,384 out tokens

88%

31%

DevOps AI Platform — Project State Rehydration

Context rehydration with token budget management

Criteria

Without context

With context

Token budget default 8192

100%

Component: project_overview

100%

Component: architectural_decisions

100%

Component: technology_stack

100%

Component: recent_agent_work

66%

100%

Component: known_issues

50%

100%

Prioritization before loading

100%

66%

Per-component token check

100%

Token estimation per component

100%

Incremental mode support

100%

Full mode support

100%

Lazy loading design

25%

33%

Without context: $0.3613 · 1m 48s · 12 turns · 61 in / 6,651 out tokens

With context: $0.5160 · 2m 39s · 18 turns · 274 in / 8,757 out tokens

85%

36%

Distributed AI Workflow Platform — Context Integrity and Resumption

Context validation, integrity, and conflict resolution

Criteria

Without context

With context

Cryptographic signatures

66%

100%

Semantic consistency check

30%

60%

Version compatibility check

70%

100%

Three-way merge strategy

100%

Semantic conflict detection

30%

20%

Provenance tracking

80%

90%

Decision traceability

50%

100%

Multi-agent collaboration history

75%

Workflow: validate then restore

60%

100%

Resumption summary output

25%

100%

Without context: $0.5049 · 2m 29s · 18 turns · 18 in / 8,626 out tokens

With context: $0.7918 · 3m 47s · 27 turns · 2,255 in / 13,653 out tokens

Repository: sickn33/antigravity-awesome-skills
Commit: 9c177eb

Evaluated: 19 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

AI Research Assistant — Context Retrieval Module DevOps AI Platform — Project State Rehydration Distributed AI Workflow Platform — Context Integrity and Resumption

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