skills/re-explain/SKILL.md
--- name: re-explain description: Re-explain a concept from the ground up when an earlier explanation didn't land. Trigger aggressively whenever the user signals confusion about recent technical content — phrases like "i don't get it", "from scratch", "ground up", "explain again", "this makes no sense", "try again", "you need to work better", "what's X" (where X was something just mentioned), or invoking /re-explain directly. Also trigger on quieter cues like the user re-quoting a phrase from th
npx skillsauth add MoonBoi9001/claude-code-cli-tools skills/re-explainInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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When prior technical content didn't land, the failure is almost always one of these:
The fix is not to add detail. The fix is to rebuild from scratch with no assumed vocabulary. Adding detail to a confusing explanation usually makes it more confusing, because the same gaps that broke the first attempt break the second one bigger.
Start from purpose, not mechanism. Before "how X works," establish "why X exists" and "what problem X solves." This gives the reader a frame to slot the mechanism into. Without the frame, mechanism details are noise. If you find yourself describing a data structure or algorithm before saying what it's for, restart.
Define every term the first time you use it. If a word hasn't already been used in this conversation by the user, define it inline before continuing — even "obvious" ones if there's any chance of ambiguity. Cost: one short sentence. Benefit: the reader stays with you instead of stalling on the unfamiliar word and missing the next two sentences while they decode it.
Use concrete numbers, not variables. "The cursor is currently 100. 1500 agreements changed state, spanning blocks 200 to 5000" beats "the cursor is at some value C and N entries changed across some range." Concrete examples carry the abstract form for free; abstract examples don't carry the concrete one. The reader learns the structure of the problem by walking through specific values, then generalises naturally.
Build linearly. Don't reference forward. Each sentence should depend only on what's already been said. If you find yourself writing "we'll come back to this" or "as we'll see later," restructure so you don't have to. Forward references break the linear build and force the reader to hold an undefined placeholder in their head.
Address the user's literal question explicitly at the end. If they asked "are you saying X?", respond "yes — almost. The wording correction is..." or "no — the right framing is...". Don't make them infer the answer from the surrounding explanation. A re-explanation that doesn't end with a direct response to the original question has missed the point — the user is left having to do the synthesis you should have done for them.
Pause for confirmation before moving on. Long explanations build understanding cumulatively. If the foundation is shaky, pushing forward compounds the confusion exponentially. End with "tell me when this clicks" or "let me know if this is solid before we go further" and wait. Resist the urge to keep going just because there's more on the original list. The whole point of re-explaining is to wait for the reader, not to race ahead.
This skill applies whenever the user signals:
/re-explain directly.It does not apply for routine clarification requests (a one-line "what does foo mean?") — those just need a short definition, not a teardown.
When invoked, do not start with "let me try again" or any meta-commentary. The user knows you're re-explaining; framing it explicitly adds noise and reads as defensive. Just start the from-scratch explanation.
End with an explicit pause: "Tell me when this clicks. Don't try to absorb [the next thing] yet." The pause is part of the skill — without it, the user has to manage your pace, which is what got us here.
A user asked about pagination cursors in a chain-listener service. The first explanation jumped straight into the fix without establishing the underlying machinery. The user pushed back: "what cursor? what cap? you need to work better to explain this from ground up."
The successful re-explain went:
Each step depended only on the previous ones. No forward references. Concrete numbers throughout. The user's confusion phrases ("what cursor? what cap?") were answered explicitly by sections 4 and 5 in those exact terms. The user replied: "your explanation for 2 was incredible. I loved how you did exactly what i asked by doing a slow build with no jargon."
That last sentence is the success signal. If a re-explain lands, the user names what worked. If it doesn't land, they'll push back again — and the right response is to restart from a different starting point, not to add more detail to the second attempt.
development
Run a deep multi-agent review of a GitHub PR — 6 specialized agents covering architecture, correctness, security, tests, code quality, and integration. ONLY trigger when the user's message contains the explicit phrase 'deep review' (e.g. 'deep review this PR', 'deep review PR #1234', 'do a deep review of 1234', '/deep-review'). Do NOT trigger on bare 'review', 'review this', 'review the PR', 'code review', 'what do you think of this PR', or pasted PR URLs without 'deep review' in the message — those are handled by the lighter /review skill. The literal phrase 'deep review' must appear in the user's message; absence of that phrase means do not invoke this skill.
development
Load a high-fidelity recap of a prior Claude Code session into the current session's context. The goal is to be LESS lossy than running /compact would be — the user is invoking this skill precisely because /compact discards detail they need. Use this when the user wants to "resume", "pick up", "continue", or "load context from" a previous session — especially a long one (hundreds of thousands of tokens) where actually resuming the session would be prohibitively expensive, or where the session was auto-compacted mid-flow and a lot of detailed work happened after the last compaction that another /compact pass would crush. Also trigger on phrases like "recap the last session", "what was I working on yesterday", "load the prior chat", or "/load-prior-session". The skill extracts via a subagent so the full transcript never enters the current session's context.
development
Convert the most recent code review in the conversation into a grouped numbered checklist (Decisions needed / Fixes / Polish) of issues to fix. Use this skill whenever the user wants to extract, list, summarize, or triage the issues a reviewer raised — including phrasings like "list the issues from that review", "make me a todo from the review", "turn the review into a checklist", "what did the review flag", "summarize that review as a list", "give me every nit from above", or "/review-todo". Trigger especially as a natural follow-up to /review, /deep-review, /security-review, /ultrareview, or any pasted PR / inline review the user wants to act on. The output is a numbered list of every concrete issue the review raised, grouped under bold section headings, with file:line references appended in parentheses, and decision items rendered with a `→` arrow callout below the description posing the specific question — and lettered choices below that when the reviewer named discrete alternatives.
development
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.