Agent skill

ingest

Quellcode ansehen: coreyhaines31/makerskills

#201Globales Ranking · von 201 SkillsMedium

Installation

npx skills add coreyhaines31/makerskills --skill ingest

24

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/ingest — Raw human input → structured work

You are a relay hub: clients text you, partners email you, calls get transcribed. Each of these carries decisions, action items, bugs, and facts — and processing one by hand means re-explaining the same routine every time. This skill is that routine, written down.

The contract: internal, reversible outputs (vault captures, filed issues) happen without ceremony. Outward-facing outputs (replies) are always drafted, never sent.

Files

Path What
${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/ingest/people.yaml Person → project/repo/vault-page/reply-channel routing (private, gitignored)
<vault>/raw/call-<slug>.md / <vault>/raw/message-<slug>.md Captures, in second-brain's schema
references/people.yaml.example Config schema with a worked example

<vault> is ${SECOND_BRAIN_VAULT:-$HOME/Documents/SecondBrain}.

Step 0 — Get the input and classify it

In order: content in the prompt → clipboard (pbpaste) → ask.

Classify by shape, not by what the user called it:

Shape Type
Speaker labels + timestamps, or a Grain/Zoom/Granola/Fathom URL or header call
"from X:" / forwarded text or DM, first-person, short message
Email headers or greeting/sign-off structure email (treat as message with formal tone)
Unstructured first-person stream ("okay so I was thinking…") voice-note (no reply draft; capture + actions only)

Long transcripts arrive truncated in chat sometimes — if the content visibly cuts off mid-sentence, say so and ask for the file (or a path) rather than processing a fragment.

Step 1 — Identify who and which project

Read people.yaml. Match participants/senders against name and aliases.

  • Matched → you now have the repo, vault page, reply channel, and tone notes. Say which routing you're using in one line ("Routing: Jane → acme-app").
  • Unmatched → ask once: "Who is this and what project does it belong to?" Then offer to append them to people.yaml so the question never repeats. If the user declines to add them, process the input with explicit destinations instead of routed defaults.
  • Multiple projects in one call (common on partner calls) → split extraction by project; route each piece separately.

Step 2 — Extract

Read the whole input first. Then pull out, with a short verbatim quote or paraphrase anchoring each:

  1. Decisions made — anything settled, including "we're NOT doing X."
  2. Action items — mine — things the user owes someone. Include any stated deadline.
  3. Action items — theirs — things owed to the user (these become the follow-up section of the reply, not issues).
  4. Bugs & feature requests — anything that should become a GitHub issue. One issue per item, never a grab-bag.
  5. Questions to answer — asked but unanswered in the input.
  6. Facts worth keeping — durable context (pricing mentioned, a person's situation, a tool they use) → vault; a genuinely reusable reference → Keep note (only if the keep CLI is authed; skip silently otherwise).

Name verification rule: transcripts mishear proper nouns constantly (brand names, people, tools). Before a name lands in an issue title, vault page, or reply, verify the spelling against the routing config, the repo, or a quick search — never trust the transcript's spelling of a name you can check.

Step 3 — Show the routing plan

One compact table before acting:

# Item Destination
1 "Bulk-export button on the reports page" Issue → myorg/acme-app
2 Decision: monthly billing default vault Projects/Acme.md
3 Reply to Jane draft below

Then proceed without waiting — everything in the table is internal or a draft. Pause for confirmation only when routing is ambiguous (two plausible repos, an unmatched person) or the input includes something sensitive (credentials, legal/financial commitments).

Step 4 — Execute

Issues — search for duplicates first (gh issue list --search), then file with gh issue create in the mapped repo. Title = imperative summary; body = context quote from the source, what was asked, and who asked. Apply issue_labels from config if set. Never assign anyone but the user.

Vault capture — one file per ingest, second-brain raw schema:

# message-jane-bulk-export (2026-09-04)
source: text message from Jane
project: Acme App

## Summary


## Decisions


## Action items
- [ ] mine: …
- [ ] theirs: Jane to …

## Filed
- myorg/acme-app#123 — Bulk-export button on the reports page

Slug: call- or message- + person + topic. Follow the vault's auto-commit convention (semantic commit per session).

Todos — action items of "mine" also land wherever the person's vault_page tracks tasks, if one is configured.

Reply draft — in the user's voice for that channel (config tone + channel norms: text = brief and casual; email = fuller). Structure when it fits: acknowledge → what I'm doing about it → what I need from you → when they'll hear back. End with the draft in a paste-ready block (compose with /paste rules for the channel — e.g. no URLs in an X post body). Never send it.

Step 5 — Report

Close with a compact recap: TLDR of the input (2–3 sentences), decisions, both action-item lists, links to filed issues, the vault file path, and the reply draft. This recap is the deliverable — someone who never saw the input should understand what happened and what's next.

Composes with

  • second-brain — captures land in its raw/ schema for later compile
  • paste — channel formatting for the reply draft
  • deep-research — when an extracted question needs real research before it's answerable
  • pm — when a call produces enough work to deserve a project card, not just issues

Notes on quality

  • The most common failure is flattening: summarizing the input instead of extracting work from it. The test: could the user act on your output without rereading the source?
  • Second most common: issue grab-bags. "Improvements from call with Jane" is not an issue. One item, one issue, one clear title.
  • "Theirs" action items are as valuable as "mine" — they're the follow-up ledger. Don't drop them because no tool call captures them.
  • A voice-note ingest with zero action items is fine: capture it, say so, stop. Not every input contains work.

Installationen

Installationen24
Globales Ranking#201 von 201

Sicherheitsprüfung

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So verwenden Sie diesen Skill

1

Install ingest by running npx skills add coreyhaines31/makerskills --skill ingest in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

2

Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

3

Der Skill verbessert das Verständnis Ihres Agenten für ingest, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.