Skills context-optimization
📦

context-optimization

Content revision r2 Safe ⚙️ External commands

Optimize AI Context for Longer Tasks

Long AI sessions can waste tokens, increase latency, and lose important context. This skill provides practical methods for compaction, masking, caching, partitioning, and budgeting.

Supports: Claude Codex Code(CC)
🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "context-optimization" from https://skillstore.io/skills/sickn33-context-optimization.md and its manifest at https://skillstore.io/api/skills/sickn33-context-optimization/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/sickn33-context-optimization.md Signed manifest GET /api/skills/sickn33-context-optimization/manifest Signed lockfile GET /api/skills/sickn33-context-optimization/lockfile

Test it

Using "context-optimization". Our support agent exceeds its context limit after many tool calls.

Expected outcome:

Mask resolved tool outputs after three turns. Keep recent evidence, customer constraints, open actions, and compact references for retrieval.

Using "context-optimization". Plan compaction for a research conversation at 82 percent utilization.

Expected outcome:

  • Preserve claims, citations, decisions, and unresolved questions.
  • Summarize older discussion and duplicate source extracts.
  • Retain the latest turns and reserve capacity for synthesis.

Using "context-optimization". Improve cache reuse for repeated agent requests.

Expected outcome:

Place the system prompt and tool definitions first. Follow with reused templates, then request-specific content. Remove dynamic timestamps from stable prefixes.

Security Audit

Safe
v5 • 7/23/2026 Open versioned report

All eight static findings are false positives caused by Markdown code fences, benign Python examples, and ordinary prose. No executable shell commands, reconnaissance behavior, prompt injection, or malicious intent were found.

1
Files scanned
186
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

⚙️ External commands (5)
SKILL.md:119-122 SKILL.md:122-125 SKILL.md:125-129 SKILL.md:129-132 SKILL.md:132-137
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report
Security Assessment

Copy report link

https://skillstore.io/skills/sickn33-context-optimization/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown badge

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Embed card

<iframe src="https://skillstore.io/embed/skills/sickn33-context-optimization.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>
Academic citations (APA · BibTeX · CFF)

APA citation

sickn33. (2026). context-optimization security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-context-optimization/audits/5

BibTeX citation

@techreport{sickn33-sickn33-context-optimization-2026, author = {sickn33}, title = {context-optimization security audit report (audit version 5)}, institution = {Skillstore}, year = {2026}, number = {5}, url = {https://skillstore.io/skills/sickn33-context-optimization/audits/5}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "context-optimization security audit report (audit version 5)" version: "unspecified" type: report authors: - name: "sickn33" date-released: "2026-07-23" url: "https://skillstore.io/skills/sickn33-context-optimization/audits/5" identifiers: - type: other value: "skillstore:sickn33-context-optimization:audit:5" description: "Skillstore immutable audit report identifier"

Compare variants

4 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Higher Skillstore usage
ChakshuGautam Recommended

chakshugautam-context-optimization

Skillstore Score 80
Evidence Confidence High
Skillstore usage 119
Updated

2026-08-21

muratcankoylan

muratcankoylan-context-optimization

Skillstore Score 80
Evidence Confidence High
Skillstore usage 19
Updated

2026-08-21

Asmayaseen

asmayaseen-context-optimization

Skillstore Score 80
Evidence Confidence High
Skillstore usage 12
Updated

2026-08-21

sickn33 Current

sickn33-context-optimization

Skillstore Score 78
Evidence Confidence High
Skillstore usage 25
Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
85
Maintainability
87
Content
69
Community
83
Spec Compliance

What You Can Build

Reduce production agent costs

Define token budgets, cache-stable prefixes, and compaction triggers for long-running agent workflows.

Preserve long research sessions

Summarize older material while retaining decisions, key facts, citations, and unresolved questions.

Control verbose tool output

Replace completed tool observations with compact summaries and retrievable references.

Try These Prompts

Find the largest context costs 
Review this agent context: [context]. Identify the largest token consumers and recommend one low-risk optimization.
Create a compaction plan 
Create a compaction plan for [conversation]. Preserve decisions, constraints, unresolved questions, and recent evidence. Set a trigger based on token utilization.
Design an observation policy 
Design an observation-masking policy for [workflow]. Classify outputs as retain, summarize, or reference. Define retrieval rules for masked details.
Architect a context system 
Design a measured context architecture for [system]. Include budgets, cache-stable prefixes, partition boundaries, compaction triggers, quality checks, and rollback criteria.

Best Practices

  • Measure token use, latency, cache hits, and answer quality before changing the context strategy.
  • Preserve recent evidence, active constraints, decisions, and unresolved questions during compaction.
  • Test optimization thresholds with representative production workloads and define rollback criteria.

Avoid

  • Do not summarize the entire context without identifying information that must remain exact.
  • Do not mask recent observations or evidence supporting an active decision.
  • Do not add timestamps or request-specific data to otherwise stable prompt prefixes.

Frequently Asked Questions

Does this skill increase a model's context limit?
No. It helps use the existing context window more efficiently.
When should compaction begin?
Start planning near 70 percent utilization and consider triggering compaction near 80 percent. Validate thresholds for your workload.
What information should summaries preserve?
Preserve decisions, constraints, key facts, metrics, citations, unresolved questions, and details required for current reasoning.
What is observation masking?
It replaces verbose, completed tool output with a compact summary or reference that can support later retrieval.
How does prompt ordering improve caching?
Stable system instructions and tool definitions create reusable prefixes. Unique request content appears later, so shared computation can be cached.
How should optimization quality be measured?
Track token reduction, latency, cache-hit rate, task accuracy, evidence retention, and failures caused by missing context.

Developer Details

Author

sickn33

License

MIT

Skillstore revision

r2

Version notice

The author did not declare a version.

Repository

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/context-optimization

Ref

f9e2c34b4f19c7f3e6b0a1e93227b5f77cc12526

Maintenance freshness

7/26/2026

Usage

16 downloads · 105 views

File structure

📄 SKILL.md

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