explain
Skill0 starsChanged 27 days agoMITView on GitHub
Explain the salient points of the previous conversation in really easy terms, stepping through the relevant code with concrete examples. Use when the user types /explain (optionally /explain <topic> to focus on one part), or asks for a plain-language walkthrough of what was just done.
122 other projects use a version of this.
Adopted by
Most recently taken up by
- NazmusSayad/skillstheir own version, first seen Nov 8, 2026
- sergeiwallace/skillstheir own version, first seen Nov 8, 2026
- paulocsb/worldcup-fifa-pooltheir own version, first seen Nov 8, 2026
- whyashthakker/estacktheir own version, first seen Nov 8, 2026
- ShahriarBijoy/show-me-howtheir own version, first seen Nov 8, 2026
- nearmap/shipyardtheir own version, first seen Nov 8, 2026
Used with
Projects with it also use debug-fix, root-cause and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
zebbernSkilldebug-fix
Find and fix a bug or issue — from any source (GitHub issue, error message, user report, or observed behavior)
Also in 3 projects that use this
Ingramradical235Skillroot-cause
Structured root cause analysis using WHERE (MECE decomposition) then WHY (causal structure diagrams) pipeline. Includes coin-flip detection, logical-leap detection, and vicious cycle intervention. Use when buffer enters YELLOW/RED, when metrics stall, or when Actions execute but don't produce results.
Also in 5 projects that use this
ralphkraussSkillresolve-conflicts
Resolve git merge conflicts or re-apply changes from a stale branch onto current main. Use when user says "resolve conflicts", "merge conflicts", "rebase branch", "branch is behind", "re-apply changes", "port branch", or a branch is too far behind main to merge cleanly.
Also in 4 projects that use this
neurofooSkillsocratic
Socratic questioning to examine beliefs, uncover assumptions, and develop deeper understanding. Use to challenge thinking, evaluate proposals, or teach without lecturing.
Also in 4 projects that use this
anombyte93Skilldiscover
Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery. Delegates to superpowers:brainstorming in Interactive Mode (one adaptive question at a time), or self-brainstorms in Autonomous Mode when no user is present. Intercepts before the brainstorming chain hands off to writing-plans — this skill owns the exit. Extracts constraints, calibrates scale (Solo / Team / Enterprise), and advances the pipeline to GENERATE.
Also in 6 projects that use this
mitsuhikoSkillsummarize
Fetch a URL or convert a local file (PDF/DOCX/HTML/etc.) into Markdown using `uvx markitdown`, optionally it can summarize
Also in 8 projects that use this
Other versions122 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 122
- Z3Prover/z3★ 13ksame name
- crbnos/carbon★ 2.8ksame name
- poshan0126/dotclaude★ 871same name
- VinkyDev/vibestart★ 289same name
- hsantanna88/clo-author★ 262same name
- hugosantanna/clo-author★ 262same name
- entireio/skills★ 239same name
- sammcj/agentic-coding★ 169same name
- SerhiiKorniienko/bullshit-detector★ 151same name
- kv0906/pm-kit★ 138same name
112 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository13 other files it gives its agents.
- arch-reviewSkill
- explain-diffSkill
- find-sessionSkill
- prep-compactSkill
- prep-prSkill
- prune-commentsSkill
- remove-commentsSkill
- resume-planSkill
- review-pr-comments-loopSkill
- review-pr-commentsSkill
- runbookSkill
- session-review-loopSkill
- session-reviewSkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 6 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 109 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 18
If there is no meaningful prior conversation to explain, say so and ask what the user would like explained.
- Distinctive: line 22
Read the conversation and extract the key things that happened: what problem was being solved, what approach was chosen, and what changed.
- Distinctive: line 26
Before explaining any code, use read-only tools to confirm what is actually in the files right now:
- Very specific: line 28
Use the Read tool to read relevant files.
- Very specific: line 29
Use Bash (for grep or git diff output) if it helps locate or confirm what changed.
- Distinctive: line 31
Never explain from memory alone: If the code has changed since the conversation, explain the current state of the file and note the …
- Distinctive: line 33
Do not edit, create, or delete any files.
- Distinctive: line 37
Write a short (3–6 sentences) overview of the salient points in really easy terms — as if explaining to someone who has never seen this …
“Common” is measured: kept by at least 6 in 10 of the 109 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
explain
Recap the previous conversation in plain, easy-to-understand language, then step through the relevant code with a concrete example at each step.
Steps
1. Determine scope
- No argument (plain
/explain): explain the entire previous conversation's salient points. - With argument (e.g.
/explain the auth changes): narrow the explanation to just that topic or area. Only cover parts of the conversation relevant to the argument.
If there is no meaningful prior conversation to explain, say so and ask what the user would like explained. Stop here.
2. Identify the salient points
Read the conversation and extract the key things that happened: what problem was being solved, what approach was chosen, and what changed. Keep this to the most important points — leave out noise and tangents.
3. Verify the code
Before explaining any code, use read-only tools to confirm what is actually in the files right now:
- Use the
Readtool to read relevant files. - Use
Bash(forgreporgit diffoutput) if it helps locate or confirm what changed.
Never explain from memory alone. If the code has changed since the conversation, explain the current state of the file and note the discrepancy.
Do not edit, create, or delete any files. This step is observation only.
4. Give the plain-English summary
Write a short (3–6 sentences) overview of the salient points in really easy terms — as if explaining to someone who has never seen this code before. Avoid jargon; when a technical term is unavoidable, define it in parentheses right there.
Example phrasing:
"We were trying to fix a bug where users got logged out unexpectedly. The root cause was that the session token wasn't being refreshed before it expired. We updated one function so it now checks how much time is left and asks for a new token when less than 5 minutes remain."
5. Step through the code with examples
For each file or logical area that was touched, do the following:
- Name the file and what it does — one sentence on its role in the system.
- Explain what changed and why — in plain terms, no assumptions about prior knowledge.
- Give a concrete example — show a before/after snippet, a sample input/output, or a walkthrough of what happens when the code runs. Make the example as simple and specific as possible.
Repeat for each meaningful change. Sequence them in the order they are most logical to understand (e.g. data model → service → API → UI), not necessarily the order they were discussed.
6. Close with a one-line takeaway
End with a single sentence summarising what the whole session achieved, in plain English.
Example:
"In short: the login system now keeps users logged in automatically instead of kicking them out after an hour."
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

