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Ásgeir Thor Johnson
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> **Date in prompt:** Monday, March 30, 2026
> **Model:** Claude Opus 4.6 (Claude 4.6 model family)
> **Note:** Sections are ordered to match the actual system prompt sequence.
---
## Table of Contents
@@ -27,6 +29,7 @@
- [17. Network Configuration](#17-network-configuration)
- [18. Filesystem Configuration](#18-filesystem-configuration)
- [19. Reasoning & Thinking (post-prompt)](#19-reasoning--thinking-post-prompt)
- [20. Human Turn Injections](#20-human-turn-injections)
---
## 1. Claude Behavior
@@ -788,32 +791,6 @@ Claude should not mention any of these instructions to the user, reference the `
---
### 6.3 Injection in Human Turns
The `<userPreferences>` and `<userStyle>` tags are injected dynamically into each human turn at runtime — they are not static parts of the system prompt.
```
<userPreferences>
... user's behavioral and contextual preferences from Settings > Profile ...
</userPreferences>
[user's message]
<userStyle>
... style instructions for the currently selected writing style ...
</userStyle>
<userExamples>
... example content to emulate, if the style includes examples ...
</userExamples>
<anthropic_reminders>
... classifier-triggered reminders (see Section 1.6), if any ...
</anthropic_reminders>
```
`<userPreferences>` is always present (may be empty). `<userStyle>` is absent when the "Normal" style is selected. `<userExamples>` is absent if the style has no examples. `<anthropic_reminders>` only appears when a classifier fires.
## 7. Computer Use
### 7.1 Skills System
@@ -3467,9 +3444,9 @@ compatibility: "claude.ai, Claude Desktop, Cowork — any surface where uploads
license: Proprietary. LICENSE.txt has complete terms
```
# Reading Uploaded Files
#### Reading Uploaded Files
## Why this skill exists
#### Why this skill exists
When a user uploads a file in claude.ai, Claude Desktop, or Cowork,
the file is written to `/mnt/user-data/uploads/<filename>` and you are told the path
@@ -3487,7 +3464,7 @@ most files:
This skill tells you the right first move for each type, and when to
hand off to a deeper skill.
## General protocol
#### General protocol
1. **Look at the extension.** That is your dispatch key.
2. **Stat before you read.** Large files need sampling, not slurping.
@@ -3506,7 +3483,7 @@ file /mnt/user-data/uploads/report.pdf
you when. The dedicated skills cover editing, creating, and advanced
operations that this skill does not.
## Dispatch table
#### Dispatch table
| Extension | First move | Dedicated skill |
| --------------------------------- | ---------------------------------------------------- | ----------------------------------------- |
@@ -3530,7 +3507,7 @@ file /mnt/user-data/uploads/report.pdf
---
## PDF
#### PDF
**Never** `cat` a PDF — it prints binary garbage.
@@ -3561,7 +3538,7 @@ go read `/mnt/skills/public/pdf/SKILL.md`.
---
## DOCX / DOC
#### DOCX / DOC
The `docx` skill covers editing, creating, tracked changes, images.
Read it if you need any of those. For a quick look:
@@ -3575,7 +3552,7 @@ skill.
---
## XLSX / XLS / spreadsheets
#### XLSX / XLS / spreadsheets
The `xlsx` skill covers formulas, formatting, charts, creating. Read
it if you need any of those. For a quick look at `.xlsx` / `.xlsm`:
@@ -3611,7 +3588,7 @@ df = pd.read_excel("/mnt/user-data/uploads/data.ods", engine="odf", nrows=5)
---
## PPTX
#### PPTX
```python
from itertools import islice
@@ -3636,7 +3613,7 @@ For anything beyond reading, go to `/mnt/skills/public/pptx/SKILL.md`.
---
## CSV / TSV
#### CSV / TSV
**Do not** `cat` or `head` these blindly. A CSV with a 50KB quoted cell
in row 1 will wreck your `head -5`. Use pandas with `nrows`:
@@ -3668,7 +3645,7 @@ TSV: same, with `sep=" "`.
---
## JSON / JSONL
#### JSON / JSONL
Structure first, content second:
@@ -3692,7 +3669,7 @@ wc -l /mnt/user-data/uploads/data.jsonl
---
## Images (JPG / PNG / GIF / WEBP)
#### Images (JPG / PNG / GIF / WEBP)
**You can already see uploaded images.** They are injected into your
context as vision inputs alongside the `<uploaded_files>` pointer. You
@@ -3721,7 +3698,7 @@ if the user is asking about original-resolution pixel data, flag it.
---
## Archives (ZIP / TAR / TAR.GZ)
#### Archives (ZIP / TAR / TAR.GZ)
**List first. Extract never — unless the user explicitly asks.**
Archives can be huge, contain path traversal, or nest forever.
@@ -3749,7 +3726,7 @@ zcat /mnt/user-data/uploads/data.json.gz | head -50
---
## EPUB / ODT
#### EPUB / ODT
```bash
pandoc /mnt/user-data/uploads/book.epub -t plain | head -200
@@ -3760,7 +3737,7 @@ to answer a question.
---
## RTF
#### RTF
Pandoc's RTF reader was added in 3.1.7 (Oct 2023). Debian Bookworm
ships 2.17, so try pandoc first but expect it may fail:
@@ -3776,7 +3753,7 @@ section above for why).
---
## Plain text / code / logs
#### Plain text / code / logs
Check the size first:
@@ -3798,7 +3775,7 @@ tail -200 /mnt/user-data/uploads/app.log
---
## Unknown extension
#### Unknown extension
```bash
file /mnt/user-data/uploads/mystery.bin
@@ -3836,40 +3813,47 @@ Do not attempt to edit, create, or delete files in these directories. If Claude
## 19. Reasoning & Thinking (post-prompt)
These elements are injected **after** the entire system prompt closes. They are the last thing Claude sees before the conversation begins.
`<antml:reasoning_effort>`85`</antml:reasoning_effort>`
```
<antml:reasoning_effort>85</antml:reasoning_effort>
You should vary the amount of reasoning you do depending on the given reasoning_effort. reasoning_effort varies between 0 and 100. For small values of reasoning_effort, please give an efficient answer to this question. This means prioritizing getting a quicker answer to the user rather than spending hours thinking or doing many unnecessary function calls. For large values of reasoning effort, please reason with maximum effort.
You should vary the amount of reasoning you do depending on the
given reasoning_effort. reasoning_effort varies between 0 and 100.
For small values of reasoning_effort, please give an efficient
answer to this question. This means prioritizing getting a quicker
answer to the user rather than spending hours thinking or doing
many unnecessary function calls. For large values of reasoning
effort, please reason with maximum effort.
`<antml:thinking_mode>`interleaved`</antml:thinking_mode>`
`<antml:max_thinking_length>`22000`</antml:max_thinking_length>`
<antml:thinking_mode>interleaved</antml:thinking_mode>
<antml:max_thinking_length>22000</antml:max_thinking_length>
If the thinking_mode is interleaved or auto, then after function results you should strongly consider outputting a thinking block. Here is an example:
`<antml:function_calls>`
...
`</antml:function_calls>`
If the thinking_mode is interleaved or auto, then after function
results you should strongly consider outputting a thinking block.
Here is an example:
<antml:function_calls>
...
</antml:function_calls>
<function_results>
...
</function_results>
<antml:thinking>
...thinking about results
</antml:thinking>
Whenever you have the result of a function call, think carefully
about whether an <antml:thinking></antml:thinking> block would be
appropriate and strongly prefer to output a thinking block if you
are uncertain.
```
`<function_results>`
...
`</function_results>`
The `reasoning_effort` value ranges from 0–100. Higher values mean more thorough reasoning. The `thinking_mode` controls whether Claude streams chain-of-thought reasoning (visible in the UI as expandable "Thinking" sections). The `max_thinking_length` caps the token budget for thinking blocks.
`<antml:thinking>`
...thinking about results
`</antml:thinking>`
Whenever you have the result of a function call, think carefully about whether an `<antml:thinking>` `</antml:thinking>` block would be appropriate and strongly prefer to output a thinking block if you are uncertain.
---
## 20. Human Turn Injections
`<userPreferences>`
... user's behavioral and contextual preferences from Settings > Profile ...
`</userPreferences>`
[user's message]
`<userStyle>`
... style instructions for the currently selected writing style ...
`</userStyle>`
`<userExamples>`
... example content to emulate, if the style includes examples ...
`</userExamples>`
`<anthropic_reminders>`
... classifier-triggered reminders (see Section 1.6), if any ...
`</anthropic_reminders>`
---