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context-window-management

Use this skill in long conversations or multi-turn agentic sessions where context may be lost or the conversation is approaching token limits. Summarize, prioritize, and compact context proactively before it becomes a problem.

69

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A concise, well-organized instruction-only skill that respects the token budget and is easy to navigate. Its main gap is actionability: it tells Claude what to do but not precisely when or how to decide compaction is needed.

Suggestions

Add a concrete trigger threshold for compaction (e.g., 'summarize once the conversation exceeds ~80% of the context window' or 'after every N tool turns') instead of vague 'natural breakpoints'.

Specify a compact summary format or required fields (e.g., decisions, open tasks, constraints) so the summarization step is reproducible rather than left to judgment.

Give one short worked example of a before/after context compaction so the expected output shape is unambiguous.

DimensionReasoningScore

Conciseness

Lean bullet-based body with no padding and no explanation of concepts Claude already knows; every line ("move resolved context to a summary", "write important state to a file") earns its place.

3 / 3

Actionability

Concrete guidance on what to summarize, prioritize, and avoid, but the action trigger is vague ("at natural breakpoints", "before it becomes a problem") with no specific threshold or method for when to compact.

2 / 3

Workflow Clarity

A simple single-purpose skill under 50 lines with clearly organized sections (Proactive summarization, Prioritization, File-based memory, Avoid) and no destructive/batch operation requiring validation checkpoints.

3 / 3

Progressive Disclosure

Under 50 lines with no need for external references, yet well-organized into clearly labeled sections — meeting the simple-skill bar for full progressive disclosure credit.

3 / 3

Total

11

/

12

Passed

Description

85%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description that clearly states both capability and trigger conditions with concrete actions. It could broaden its natural-language trigger vocabulary beyond technical terms like "token limits" to capture more user phrasings.

DimensionReasoningScore

Specificity

Names multiple concrete actions — "Summarize, prioritize, and compact context proactively" — listing three distinct operations rather than a single vague one.

3 / 3

Completeness

Explicitly answers both what ("Summarize, prioritize, and compact context") and when ("Use this skill in long conversations... where context may be lost or... approaching token limits") with an explicit trigger clause.

3 / 3

Trigger Term Quality

Includes relevant terms like "long conversations", "multi-turn agentic sessions", and "token limits", but these lean technical and miss common layperson variations a user might naturally say.

2 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (context window management) with distinct triggers around token limits and lost context, unlikely to fire for unrelated skills despite minor overlap with general summarization.

3 / 3

Total

11

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
aiming-lab/MetaClaw
Reviewed

Table of Contents

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