Agents & OrchestrationSûr100100/100
Messages Ops
Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.
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Installer dans ton projet
$ npx arboris-cli@latest install messages-opsaffaan-m
affaan-m/ECC
Contenu à copier
--- name: messages-ops description: Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked. metadata: origin: ECC --- # Messages Ops Use this when the task is live-message retrieval: iMessage, DMs, recent one-time codes, or thread inspection before a follow-up. This is not email work. If the dominant surface is a mailbox, use `email-ops`. ## Skill Stack Pull these ECC-native skills into the workflow when relevant: - `email-ops` when the message task is really mailbox work - `connections-optimizer` when the DM thread belongs to outbound network work - `lead-intelligence` when the live thread should inform targeting or warm-path outreach - `knowledge-ops` when the thread contents need to be captured into durable context ## When to Use - user says "read my messages", "check texts", "look in DMs", or "find the code" - the task depends on a live thread or a recent code delivered to a local messaging surface - the user wants proof of which source or thread was inspected ## Guardrails - resolve the source first: - local messages - X / social DM - another browser-gated message surface - do not claim a thread was checked without naming the source - do not improvise raw database access if a checked helper or standard path exists - if auth or MFA blocks the surface, report the exact blocker ## Workflow ### 1. Resolve the exact thread Before doing anything else, settle: - message surface - sender / recipient / service - time window - whether the task is retrieval, inspection, or prep for a reply ### 2. Read before drafting If the task may turn into an outbound follow-up: - read the latest inbound - identify the open loop - then hand off to the correct outbound skill if needed ### 3. Handle codes as a focused retrieval task For one-time codes: - search the recent local message window first - narrow by service or sender when possible - stop once the code is found or the focused search is exhausted ### 4. Report exact evidence Return: - source used - thread or sender when possible - time window - exact status: - read - code-found - blocked - awaiting reply draft ## Output Format ```text SOURCE - message surface - sender / thread / service RESULT - message summary or code - time window STATUS - read / code-found / blocked / awaiting reply draft ``` ## Pitfalls - do not blur mailbox work and DM/text work - do not claim retrieval without naming the source - do not burn time on broad searches when the ask is a recent-code lookup - do not keep retrying a blocked auth path without surfacing the blocker ## Verification - the response names the message source - the response includes a sender, service, thread, or clear blocker - the final state is explicit and bounded
Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Messages Ops
`email-ops` when the message task is really mailbox work
`connections-optimizer` when the DM thread belongs to outbound network work
`lead-intelligence` when the live thread should inform targeting or warm-path outreach
`knowledge-ops` when the thread contents need to be captured into durable context
Comment utiliser Messages Ops
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Messages Ops
Dis simplement à ton agent quelque chose comme :
Applique le skill messages-ops à cette tâche
Utilise messages-ops pour améliorer cette implémentation
Passe en revue ce sujet avec messages-ops
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Use this skill whenever the user wants values written INTO an existing PDF form that lives in the connected SharePoint knowledge source — filling out, completing, populating, or submitting a fillable PDF (application, intake sheet, contract, government form) from data they supply, a spreadsheet row, or the conversation. Triggers include "fill out the job application form", "complete the intake form for [person]", "populate our standard NDA template", and "make this ready to send / non-editable" (flatten). The source form should be found via knowledge search; only ask the user to upload it if knowledge search turns up nothing plausible. different task), and do NOT use it on scanned/image-only PDFs that have no real fillable fields — those need OCR or manual overlay instead, which this skill explicitly detects and reports rather than silently failing.