data-ingestion

B.U.I.L.D. Inflow orchestration — run the data-capture pipeline as one routine (mine session lake → refresh OKF indexes → sync wiki to Supabase). Use when the user says "/data-ingestion", "run the ingestion routine", "pull in new data", or on the Tue/Fri 09:00 routine. The improvement loop (improve-system) is a separate EOD routine.

Ir para a instalação

Repositório: CleanExpo/skills-library
Última atividade na origem: 3 de julho de 2026 às 01:23
Idioma detectado do SKILL.md: inglês
Estrelas: 0
Forks: 0

Opções de instalação

Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.

npx skills add https://github.com/CleanExpo/skills-library --skill data-ingestion

O comando permanece em uma só linha. Role horizontalmente para revisá-lo antes de copiar.

Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.

Revise os arquivos de origem

Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

SKILL.md

Instruções da origem · Visualização somente leitura

Voltar à pesquisa Voltar à instalação

crew

Dispatch the eight operational roles against a task, each grounded in the vault before it reads any code, with a live view of what is running. Use for work that wants several independent lenses at once — map, plan, build, verify, review, security, CI, release — rather than one agent doing everything.

2026-08-10

client-portal-provision

Thin wrapper around the Pi-CEO Hour-1 provisioner. Given a client slug + email, invokes `swarm/inbox/provisioner.py` to spin up the full Linear project + Supabase portal_content + ContextBot Telegram intake bot + welcome email + Phill ping. Use when the user says "onboard {client}", "spin up portal for", "new client setup", or right after `stripe-milestone-invoice` confirms a deposit cleared.

2026-08-10

pm-core

PM-Core — the first autonomous execution agent. Claims the highest-priority agent-ready ticket from the Unite-Group Linear board, clones the repo, implements the fix on a feature branch, runs CI, and opens a PR. Model: claude-sonnet-5 (senior agent tier). Trigger: /pm-core [ticket-id] or autonomous via Hermes cron.

2026-08-10

Ver todas deste repositório

name	data-ingestion
description	B.U.I.L.D. Inflow orchestration — run the data-capture pipeline as one routine (mine session lake → refresh OKF indexes → sync wiki to Supabase). Use when the user says "/data-ingestion", "run the ingestion routine", "pull in new data", or on the Tue/Fri 09:00 routine. The improvement loop (improve-system) is a separate EOD routine.

data-ingestion

One command that flows new data into the lake. The AM half of the rhythm; improve-system is the EOD half (kept separate so a failure is isolated to the stage that failed).

Run

cd ~/Pi-Dev-Ops && bash scripts/data_ingestion.sh

Stages (idempotent, safe to re-run):

sync_claude_sessions.py --since-last — mine new sessions → process/sessions/.
okf-index.py — refresh OKF indexes so new digests are discoverable.
sync_wiki_to_supabase.py --since-last — mirror wiki to Supabase.

Logs to ~/.hermes/logs/data-ingestion.log. Exit non-zero if any stage failed (the failed stage is named in the log).

Scheduling

LaunchAgent plists in ~/Pi-Dev-Ops/scripts/launchagents/ — install with bash scripts/launchagents/install.sh AFTER the PR merges and the prod checkout (~/Pi-Dev-Ops) has pulled. data-ingestion: Tue/Fri 09:00 · improve-system: Tue/Fri 18:00.

Spec: ~/Pi-Dev-Ops/docs/specs/2026-06-29-self-improving-system-build.md.
Note: source-ingest (interactive research capture) is run on demand, not in this unattended routine.

data-ingestion

Informações da origem

Opções de instalação

Revise os arquivos de origem

Mais deste repositório

Mais deste repositório

data-ingestion

Run

Scheduling

data-ingestion

Run

Scheduling