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Persist files through the storage abstraction rather than writing to arbitrary paths.
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Based on SOC occupation classification
| name | store-file |
| description | Persist files through the storage abstraction rather than writing to arbitrary paths. |
Store a file durably. Always use this skill instead of writing to arbitrary paths.
Today it writes to the local VM filesystem under /iris/data/.
Future: swap to Azure Blob Storage, S3, or GCS without changing any other skill.
store-file <relative-path> <content>
Or pipe content:
echo "content" | store-file <relative-path>
#!/usr/bin/env bash
# store-file — cloud-portable file storage
set -euo pipefail
STORAGE_ROOT="${IRIS_STORAGE_ROOT:-/iris/data}"
REL_PATH="${1:?Usage: store-file <relative-path> [content]}"
FULL_PATH="${STORAGE_ROOT}/${REL_PATH}"
mkdir -p "$(dirname "$FULL_PATH")"
if [[ -n "${2:-}" ]]; then
echo "$2" > "$FULL_PATH"
else
cat > "$FULL_PATH"
fi
echo "stored: $FULL_PATH"
IRIS_STORAGE_ROOT env var controls where files go (set by container env)store-file "sends/log.jsonl" '{"ts":"2026-04-11","to":"list","status":"ok"}'
store-file "drafts/april-update.md" "$(cat draft.md)"
Create a new sub-agent — no Terraform, no Docker by default. Starts as a systemd service, patched into the bridge immediately so @agent works right away.
Commit and push repo changes to GitHub using the standard Iris workflow.
Search the web using Perplexity AI API. Returns sourced, up-to-date information.
Send an email via Resend API from ${IRIS_EMAIL_FROM:-iris@example.com}. Use when human escalation is needed or to deliver results outside Slack/Telegram.
Transcribe an audio file (m4a, mp3, wav, ogg, webm) to text using OpenAI Whisper API. Use when a user shares a voice note or audio attachment.
Add, remove, and test MCP (Model Context Protocol) servers by editing meta/mcp.json. Tools from connected servers appear automatically as mcp__<server>__<tool>.