context-discovery SKILL.md skillA

context-discovery from jellydn/my-ai-tools is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jellydn/my-ai-tools/context-discovery@git:20260913.e2e25be

Pins git:20260913.e2e25be in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jellydn/my-ai-tools
Path
skills/context-discovery/SKILL.md
Versions recorded
5
Latest version
git:20260913.e2e25be, committed Sep 13, 2026
First version recorded
Jul 8, 2026
Size
5,075 bytes
Repository stars
128
License
MIT

Use MCP tools to trace behavior that spans multiple modules or history sources.

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 Discovery

## When to Use

Use this skill **before and during implementation** when:
- Starting work on an unfamiliar module or feature
- The task involves multiple files or systems
- You need to understand existing patterns before coding
- Previous decisions or discussions may be relevant
- You want to avoid duplicating existing functionality

## What It Does

Leverages available MCP tools to proactively discover context about the codebase, existing patterns, decisions, and related work. Instead of relying solely on grep/read cycles, it uses purpose-built discovery tools.

## Discovery Workflow

### Step 1: File Discovery

Find the relevant files using `fff`:

```
fff auth                        # Find auth-related files
fff "*order*"                   # Find order-related files by pattern
fff config                      # Find config files
```

Scan the results to identify the module structure. `fff` returns frecency-ranked results — the files you access most appear first.

### Step 2: Pattern Discovery via `sem`

Once you know the relevant files, use `sem` to understand the code's history and structure:

```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jellydn/my-ai-tools/context-discovery@sha256:6605b2e68bca37a9

The line at the top of this page pins the label git:20260913.e2e25be, 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_2ozl5qxdug7vakhq.svg)](https://markdownregistry.com/a/art_2ozl5qxdug7vakhq)

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

Versions

The registry has recorded 5 versions of this file, between Jul 8, 2026 and Sep 13, 2026, about one every 17 days. Its first recorded version is graded C and its latest A.

versioncommittedcommitsizeaudit
git:20260913.e2e25be latest2026-09-13 e2e25be 5,075 BA view · diff
git:20260710.ba921702026-07-10 ba92170 5,099 BA view · diff
git:20260708.83bb5092026-07-08 83bb509 5,796 BA view · diff
git:20260708.79117a72026-07-08 79117a7 5,835 BA view · diff
git:20260708.5f081922026-07-08 5f08192 5,482 BC 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 (5075 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

jellydn/my-ai-tools · 128 stars · license MIT · pushed 2026-11-09 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2ozl5qxdug7vakhq
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/context-discovery
GET https://markdownregistry.com/api/v1/blob/6605b2e68bca37a919c3779ab7ee4c01c0dec302322ad869fe82679436dda6a7

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 jellydn/my-ai-tools

Other files named context-discovery

context-discovery SKILL.md skill
jellydn/my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/context-discovery/SKILL.md · Use MCP tools to trace behavior that spans multiple modules or history sources.
git:20260913.e2e25be · audit A · 128 stars

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