deep-reasoning SKILL.md skillA

deep-reasoning from linxule/interpretive-orchestration is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add linxule/interpretive-orchestration/deep-reasoning@git:20261106.c8b5d8a

Pins git:20261106.c8b5d8a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
linxule/interpretive-orchestration
Path
plugin/skills/deep-reasoning/SKILL.md
Versions recorded
2
Latest version
git:20261106.c8b5d8a, committed Nov 6, 2026
First version recorded
Feb 1, 2026
Size
4,154 bytes
Repository stars
21
License
a license file GitHub does not identify

This skill should be used when users need to think through a complex analytical decision, asks 'how should I approach this?' or 'help me think through...', is stuck on a difficult coding boundary, needs to plan dimensional analysis, or is building theoretical frameworks in Stage 3.

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

# deep-reasoning

Structured step-by-step thinking for complex analytical decisions. Think deeply and step by step before responding, with qualitative research framing.

## When to Use

Use this skill when:
- User needs to think through a complex analytical decision
- User asks "how should I approach this?" or "help me think through..."
- User is stuck on a difficult coding boundary
- User needs to plan dimensional analysis
- Deciding between interpretive alternatives
- Building theoretical frameworks in Stage 3

## Method

Think deeply and step by step before responding. Write the steps out in the conversation so the researcher can follow and question each one. No MCP server is needed.

## How It Works

Step-by-step thinking creates dynamic thought sequences that:
- Break complex problems into manageable steps
- Allow branching and revision as understanding deepens
- Make reasoning explicit and traceable
- Generate hypotheses and verify them

## When to Invoke

### Stage 1
- Planning manual analysis approach
- Thinking through sampling strategy
- Working through initial conceptualization

### Stage 2 Phase 1
- Deep analysis of theoretical patterns from literature
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add linxule/interpretive-orchestration/deep-reasoning@sha256:3cf7696175ddb071

The line at the top of this page pins the label git:20261106.c8b5d8a, 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_cnrpbpombhh5fkwk.svg)](https://markdownregistry.com/a/art_cnrpbpombhh5fkwk)

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

Versions

The registry has recorded 2 versions of this file, between Feb 1, 2026 and Nov 6, 2026, about one every 278 days.

versioncommittedcommitsizeaudit
git:20261106.c8b5d8a latest2026-11-06 c8b5d8a 4,154 BA view · diff
git:20260201.0665adb2026-02-01 0665adb 4,050 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 (4154 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

linxule/interpretive-orchestration · 21 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cnrpbpombhh5fkwk
GET https://markdownregistry.com/api/v1/resolve?ref=linxule/interpretive-orchestration/deep-reasoning
GET https://markdownregistry.com/api/v1/blob/3cf7696175ddb0719492dbb5b853ad4745fa3475c45111754dca7563c09db340

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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Every file in linxule/interpretive-orchestration

Other files named deep-reasoning

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