Skills for Real Engineers. Straight from my .agents directory.
39 skills
ingest
Agent skill from
When you paste raw human input — a call transcript (Grain, Zoom, Granola, Fathom), a text or email from a client/partner/friend, a voice-memo dump, or meeting notes — and want it converted into structured work. Extracts decisions, action items (yours vs theirs), bugs/feature requests, and facts worth keeping; files GitHub issues in the right repo, captures to the second-brain vault, and drafts (never sends) the reply. Triggers on "/ingest", "ingest this", "here's my call with X," "here's the transcript," "this is from [person]," "[person] asked me this," "from [person]:", a pasted transcript with speaker labels, or a forwarded client message that clearly expects processing. Person→project routing lives in a private config; unknown senders get asked about once, then remembered.
How to install ingest
install ingest
# install the makerskills pack with the skills CLI
npx skills add coreyhaines31/makerskills# or add only this skill to Claude Code: copy the folder
skills/ingest/
# into
~/.claude/skills/ingest/ (all projects)
.claude/skills/ingest/ (one project)
1# /ingest — Raw human input → structured work23You 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.45**The contract:** internal, reversible outputs (vault captures, filed issues) happen without ceremony. Outward-facing outputs (replies) are always **drafted, never sent**.67## Files89| Path | What |10|---|---|11| `${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/ingest/people.yaml` | Person → project/repo/vault-page/reply-channel routing (private, gitignored) |12| `<vault>/raw/call-<slug>.md` / `<vault>/raw/message-<slug>.md` | Captures, in second-brain's schema |13| `references/people.yaml.example` | Config schema with a worked example |1415`<vault>` is `${SECOND_BRAIN_VAULT:-$HOME/Documents/SecondBrain}`.1617## Step 0 — Get the input and classify it1819In order: content in the prompt → clipboard (`pbpaste` on macOS, `wl-paste` / `xclip -o` on Linux; skip on agents without one) → ask.2021Classify by shape, not by what the user called it:2223| Shape | Type |24|---|---|25| Speaker labels + timestamps, or a Grain/Zoom/Granola/Fathom URL or header | **call** |26| "from X:" / forwarded text or DM, first-person, short | **message** |27| Email headers or greeting/sign-off structure | **email** (treat as message with formal tone) |28…
Excerpt shown under the repository's MIT license.
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