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writing-fragments
Writing, explore — mine raw fragments, no structure yet.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
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Writing, explore — mine raw fragments, no structure yet.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
| name | writing-fragments |
| author | mattpocock |
| upstream | mattpocock/skills |
| upstreamPath | skills/in-progress/writing-fragments |
| upstreamSha | e9fcdf95b402d360f90f1db8d776d5dd450f9234 |
| lastUpdated | 2026-07-02T01:06:55.000Z |
| tags | ["Writing","Content","Matt Pocock"] |
| description | Writing, explore — mine raw fragments, no structure yet. |
| disable-model-invocation | true |
This is pure explore: widen the space of what could be written without committing to structure — committing is exploit, a separate skill's job. Run a grilling session that produces fragments, interviewing the user relentlessly about whatever they want to write about. Imposing phases, outlines, or article structure is out of scope here.
As fragments emerge from either side of the conversation, append them to a single markdown file.
If the user did not pass a path, ask once where to save the document, then remember it for the rest of the session.
Capture fragments from the very first thing the user says, including the initial prompt.
On first write, put a single H1 at the top with a working title (it can change later) and nothing else — no metadata, no TOC, no date.
A fragment is any piece of text that might survive into the final article. It must be readable by the author — the author can tell what it means — but it does not need to define its terms or be comprehensible to a cold reader. The bar is "is this a piece of good writing?", not "is this a self-contained argument?"
Fragments are deliberately heterogeneous. Examples of what could be a fragment:
Of these, the leading word is the most valuable fragment to land. It is load-bearing: name the right one in explore and it shapes the structure, the transitions, and the title later — paying dividends through the entire exploit phase. When the conversation circles a recurring idea, push to coin a word for it.
The novelist's diary is the model: years of unstructured noticings that later get mined for raw material. Fragments are noticings.
# Working title
A first fragment lives here.
It can be multiple paragraphs. It can include lists, code, quotes — whatever
shape the fragment naturally takes.
---
A second fragment.
---
> A quoted line that the user wants to keep around.
A reaction to it.
---
- A cluster of related observations
- That hang together by feel
- And want to be near each other
Fragments are separated by a horizontal rule (\n---\n). No headings inside the body. No tags. No order beyond the order they were added.
Append silently. Don't ask permission for each fragment. Mention what you added in passing ("adding that"), but don't interrupt the conversation with save dialogs.
Before every write: re-read the file from disk. The user may have edited, reordered, or deleted fragments between turns — preserve their changes. Never overwrite the file; only append (or, if the user asks, edit a specific fragment in place).
The user can say "cut the last one", "rewrite that one sharper", "merge those two" at any time. Treat those as first-class instructions.
Ask which skill or flow fits your situation. A router over the skills in this repo.
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says 'diagnose this' / 'debug this', reports a bug, says something is broken/throwing/failing, or describes a performance regression.
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.