context-management SKILL.md skillA

context-management from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jnpiyush/agentx/context-management@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jnpiyush/agentx
Path
.github/skills/ai-systems/context-management/SKILL.md
Versions recorded
5
Latest version
v1.0.0, committed Sep 15, 2026
First version recorded
Mar 1, 2026
Size
10,773 bytes
Repository stars
18
License
Apache-2.0

Manage LLM context windows efficiently. Use when implementing context compaction, conversation summarization, token budget management, sliding window strategies, or optimizing prompt length for cost and quality.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Context Management

> **Purpose**: Maximize the effective use of LLM context windows through compaction, summarization, and strategic token allocation.

---

## When to Use This Skill

- Managing long conversations that exceed context window limits
- Implementing context compaction for multi-turn agent interactions
- Designing token budget allocation across system prompt, context, and history
- Building summarization pipelines for conversation history
- Optimizing prompt length for cost efficiency without quality loss
- Managing context in multi-agent handoffs

## Prerequisites

- Understanding of target model's context window size
- Token counting library (tiktoken, cl100k_base, or equivalent)
- Access to LLM for summarization (can be same or cheaper model)

## Decision Tree

```
Context getting too long?
+- Single conversation overflow?
|  +- Recent messages most important? -> Sliding window
|  +- Full history needed? -> Progressive summarization
|  +- Mixed importance? -> Hybrid (summary + recent window)
+- Multiple data sources competing for tokens?
|  +- Prioritize by relevance -> Dynamic token budgeting
|  +- All required? -> Compress each source independently
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jnpiyush/agentx/context-management@sha256:66a59f0235c94a5d

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_w6uo5okt6navksvi.svg)](https://markdownregistry.com/a/art_w6uo5okt6navksvi)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Mar 1, 2026 and Sep 15, 2026, about one every 49 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-09-15 f17c505 10,773 BA view · diff
v1.0.02026-09-03 b3f2610 10,769 BA view · diff
v1.0.02026-03-01 969f335 10,438 BA view · diff
v1.0.02026-03-01 bb11a09 9,463 BA view · diff
v1.0.02026-03-01 ac76f34 9,453 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10773 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jnpiyush/agentx · 18 stars · license Apache-2.0 · pushed 2026-11-01 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_w6uo5okt6navksvi
GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/context-management
GET https://markdownregistry.com/api/v1/blob/66a59f0235c94a5db3f053124292cb4bbc9b70e87b3f03a35a7dcce487e11d25

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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