kevinbadi/hyperedit/automations
Claude Code and agent skill by kevinbadi/hyperedit
- community
Checking that the SKILL.md file is still in the repository.
Set up hands-off systems — CreatorOS cloud automations (comment-to-DM funnels, workflows) that run on CreatorOS servers, and local scheduled agent runs via creatoros automations:create. Use when asked to automate replies, set up a funnel, run a recurring agent task, or "make this happen every day."
Install
npx vskill@latest install kevinbadi/hyperedit/automationsSKILL.md
Automations
When to use
- "DM everyone who comments X on my post" → CreatorOS cloud comment-to-DM funnel.
- "Every morning, handle my comments" / "post from this folder daily" → local scheduled agent run.
- Reviewing or cleaning up existing automations.
Two kinds of automation — pick the right one
- CreatorOS cloud (runs on CreatorOS servers, no machine needed):
comment-to-DM funnels and workflows. Best for deterministic if-this-then-that — a keyword comment triggers a DM with a link/offer.
- Local scheduled agent runs (this machine, via launchd/cron): a full
agent (Claude) executes a CreatorOS skill on a schedule. Best for judgment work — triaging comments, drafting content, picking assets.
Prerequisites
creatoros auth:checkexits 0.- For local runs: the target skill exists under
creatoros/skills/, and theclaudebinary is installed on this machine. - For local runs the machine must be awake at the scheduled time — remind the human of this; for always-on, use
--target railway.
Steps
CreatorOS cloud comment-to-DM funnel
No --schedule flag → routes to cloud funnel creation. --keywords empty means every comment triggers; --matchMode exact tightens matching (default contains). Add --commentReply "<text>" to also reply publicly under the trigger comment. Get IDs from creatoros profiles:list and creatoros accounts:list --pretty; the platform post ID comes from creatoros posts:get <id> --pretty (or the human's link). Manage with creatoros automations:get <id>, automations:update <id>, automations:delete <id>, automations:logs <id>.
For a one-off comment→DM (no standing funnel), use creatoros inbox:private-reply <postId> <commentId> --accountId <id> --message "<text>".
Local scheduled agent run
- macOS: installs + loads a launchd LaunchAgent (
com.creatoros.<name>). - Linux: appends a crontab entry.
- Windows: prints Task Scheduler instructions.
Always-on cloud variant
scaffolds deploy/<name>/ (Dockerfile + railway.json + README). The README lists required env vars — make sure the human sets an Anthropic spend limit before deploying.
Manage local runs
Judgment rules
- Prefer CreatorOS cloud automations when the behavior is a simple trigger→action (funnels); save agent runs for work needing judgment. Servers beat laptops for reliability.
- Confirm schedule and timezone with the human before creating anything — "9am" means their timezone.
- For funnels: confirm the exact keyword and DM copy with the human before creating — the DM goes out automatically to strangers.
- Local agent runs use
--dangerously-skip-permissions; the human should understand the agent acts unattended in this workspace. Say so when creating one. - Never create an automation that posts unreviewed generated content unless the human explicitly opted into that.
- For plain scheduled posts, no automation is needed —
posts:create --scheduledAtpublishes from CreatorOS servers. Automations are for recurring agent work and funnels.
Verification
- Local:
creatoros automations:listshows the record; on macOSlaunchctl list | grep com.creatorosconfirms it's loaded. Check the log file after the first scheduled run. - Cloud:
creatoros automations:list --cloudshows it;creatoros automations:logs <id>after the first trigger.
Security
- Security scanPassed, 93 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingcreatoros/skills/automations/SKILL.md
Popularity
- Repository stars
- 148
- Repository forks
- 113
- 7-day trend score
- 25
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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