Agent skill

Context Engineering Fundamentals

by jamditis in jamditis/claude-skills-journalism

Manages attention and evidence in long agent sessions. An agent skill from jamditis/claude-skills-journalism.

MITAuto-check passedAgent Workflows

Install Context Engineering Fundamentals

skills CLI
$ npx skills add jamditis/claude-skills-journalism --skill context-engineering-fundamentals -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jamditis/claude-skills-journalism context-engineering-fundamentals --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jamditis/claude-skills-journalism.git skills-src && mkdir -p .claude/skills && cp -r skills-src/dev-toolkit/skills/context-engineering-fundamentals .claude/skills/context-engineering-fundamentals && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
context-engineering-fundamentals
GitHub stars
417
Token cost
~1k tokens
SKILL.md length
455 words
Files
2
Skills in repo
53
Repo updated
First seen
Licence
MIT

At a glance

Manages attention and evidence in long agent sessions. An agent skill from jamditis/claude-skills-journalism.

  • Works in 5 steps: Lost-in-middle → Context poisoning → Context distraction → …
  • Lost instructions
  • SKILL.md covers Core concept, The lost-in-middle effect, Context degradation patterns and Measure before compressing, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Context Engineering Fundamentals is an agent skill from jamditis/claude-skills-journalism. Manages attention and evidence in long agent sessions. Use for lost instructions, dropped evidence, or large multi-agent contexts.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Agent Workflows, covering Context engineering. The repository describes itself as: Claude Code skills for journalism, media, and academia - verification, FOIA, data journalism, academic writing, and more. The licence is MIT.

When your agent uses it

  • Lost instructions
  • Dropped evidence
  • Large multi-agent contexts

Example prompts

  • “Use the context-engineering-fundamentals skill to manage attention and evidence in long agent sessions. An agent skill from…”
  • “/context-engineering-fundamentals”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Lost-in-middle
  2. Context poisoning
  3. Context distraction
  4. Context confusion
  5. Context clash

What it can do on your machine

Read from SKILL.md and the folder at commit e3e2172. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Context Engineering Fundamentals loads about 1k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 455 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jamditis/claude-skills-journalism at commit e3e2172, republished under its MIT licence (© jamditis). 455 words, ~1,040 tokens.

Download SKILL.mdSave it as .claude/skills/context-engineering-fundamentals/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
context-engineering-fundamentals
description
Manages attention and evidence in long agent sessions. Use for lost instructions, dropped evidence, or large multi-agent contexts.

Context engineering fundamentals

Context engineering is the practice of managing an LLM's limited attention budget. Use this skill to keep instructions, evidence, and state available during long work.

Core concept

Context windows are constrained by attention mechanics, not only token capacity. A large context limit does not guarantee equal use of every item.

The lost-in-middle effect

The "Lost in the Middle" experiments show that retrieval quality can change with information position. The result depends on the model, task, context length, and number of documents.

PositionCommon test result
BeginningOften easier to retrieve
MiddleCan be harder to retrieve
EndOften benefits from recency

Implication: Keep critical constraints easy to find and repeat them near the decision that uses them. Do not assume position alone predicts recall.

Context degradation patterns

1. Lost-in-middle

Information in the middle of long context gets lower attention weight.

Mitigation: Structure with explicit sections. Put critical constraints at start AND end.

2. Context poisoning

Errors compound when incorrect information enters context (from tool outputs, summaries, or earlier mistakes).

Mitigation: Validate intermediate outputs. Don't blindly trust previous responses.

3. Context distraction

Irrelevant information forces attention allocation away from relevant content. Models can't "skip" irrelevant context.

Mitigation: Be selective about what goes into context. More isn't better.

4. Context confusion

Multiple task types or conflicting instructions create ambiguous responses.

Mitigation: One task per interaction when possible. Clear task boundaries.

5. Context clash

Contradictory information from multiple sources causes derailing conflicts.

Mitigation: Resolve contradictions explicitly before asking Claude to use the information.

Show full SKILL.md (202 more words)Show less

Measure before compressing

Do not use a fixed token threshold to decide when context is reliable. Measure retrieval and reasoning quality on your own model and task. Test representative evidence at several positions, then compare the result before and after summarization.

Compress only when the measured result or the agent's behavior shows a problem. Preserve exact constraints, decisions, source links, unresolved questions, and verification evidence.

Mitigation strategies

Write externally

Do not rely on the agent to remember across turns. Write important state to files, but agree the path with the user first. Prefer a gitignored workspace so you never overwrite project-owned content:

With the user's approval, after each major step write progress to an agreed scratch file (for example a gitignored PROGRESS.md or a path they choose)
Before starting, read that file back to restore context
Select carefully

Filter irrelevant context before loading:

Instead of: "Here are all 50 files, find the bug"
Do: "Here are the 3 files involved in the error"
Compress strategically

Summarize while maintaining signal:

Instead of: Full 1000-line file
Do: Key functions and their signatures, with context on the specific area
Isolate contexts

For complex tasks, use subagents with focused contexts rather than one agent with everything.

Signs of context degradation

SymptomLikely cause
Ignores earlier instructionsLost-in-middle or context too long
Contradicts itselfContext confusion or clash
Repeats information you gaveAttention not reaching that content
Misses obvious detailsContext distraction
Gets progressively worseContext poisoning from errors

References

  • "Lost in the Middle" (Liu et al., 2023) - Position effects in long context
  • "Needle in a Haystack" benchmark - Context retrieval testing
  • RULER benchmark - Multi-hop reasoning over long context

© jamditis, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in dev-toolkit/skills/context-engineering-fundamentals of jamditis/claude-skills-journalism.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit e3e2172

Compare with similar skills

Context Engineering Fundamentals next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Context Engineering Fundamentals compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Context Engineering Fundamentals this skilljamditis/claude-skills-journalism417—~1kAutomated safety check: PassMIT
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence
Memori Long-Term MemoryMemoriLabs/Memori17k—~2kAutomated safety check: NotesCustom licence
Picoclaw Skill Creatorsipeed/picoclaw30k—~4.4kAutomated safety check: PassMIT
ccc Semantic Code Searchcocoindex-io/cocoindex-code2.8k—~938Automated safety check: PassApache-2.0
Context Mode for Antigravity CLImksglu/context-mode26k—~850Automated safety check: PassCustom licence

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Categories

Questions about Context Engineering Fundamentals

What does Context Engineering Fundamentals do?

Manages attention and evidence in long agent sessions. An agent skill from jamditis/claude-skills-journalism. Context Engineering Fundamentals is an agent skill from jamditis/claude-skills-journalism. Manages attention and evidence in long agent sessions.

When should I use Context Engineering Fundamentals?

Context Engineering Fundamentals fits situations like: lost instructions; dropped evidence; large multi-agent contexts.

How do I install Context Engineering Fundamentals in Claude Code?

Run `npx skills add jamditis/claude-skills-journalism --skill context-engineering-fundamentals -a claude-code`. Or copy the skill folder (dev-toolkit/skills/context-engineering-fundamentals in jamditis/claude-skills-journalism) into .claude/skills/context-engineering-fundamentals in your project. Claude Code loads it when a task matches its description.

How do I install Context Engineering Fundamentals in Codex?

Run `npx skills add jamditis/claude-skills-journalism --skill context-engineering-fundamentals -a codex`. Or copy the skill folder (dev-toolkit/skills/context-engineering-fundamentals in jamditis/claude-skills-journalism) into .agents/skills/context-engineering-fundamentals in your project. Codex loads it when a task matches its description.

Can I use Context Engineering Fundamentals in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jamditis/claude-skills-journalism --skill context-engineering-fundamentals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/context-engineering-fundamentals, .gemini/skills/context-engineering-fundamentals, .github/skills/context-engineering-fundamentals and .opencode/skills/context-engineering-fundamentals in your project.

What does Context Engineering Fundamentals need to run?

SKILL.md names no scripts, command-line tools or credentials: Context Engineering Fundamentals is instructions for the agent only.

Does Context Engineering Fundamentals access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Context Engineering Fundamentals safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Context Engineering Fundamentals use?

Context Engineering Fundamentals is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Context Engineering Fundamentals use?

About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Context Engineering Fundamentals?

Skills that share tags, products or a category with Context Engineering Fundamentals: Context Mode Output Sandbox (mksglu/context-mode, 26k stars), Memori Long-Term Memory (MemoriLabs/Memori, 17k stars), Picoclaw Skill Creator (sipeed/picoclaw, 30k stars) and ccc Semantic Code Search (cocoindex-io/cocoindex-code, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Context Engineering Fundamentals?

jamditis (a GitHub user) maintains it in jamditis/claude-skills-journalism, which has 417 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on October 4, 2026.

Source: jamditis/claude-skills-journalism on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.