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/sap-sac-planning

@620a19a
by Eddiesecondsky/sap-skills456 stars
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SAP Analytics Cloud (SAC) planning guidance for planning models, planning-enabled stories, data actions, multi actions, version management, data locking, calendar/input workflows, allocations, value driver trees, BPC live planning, and Seamless Planning with SAP Datasphere. Use this for planning design, planning APIs, data action debugging, planning performance reviews, and authenticated SAC planning story triage in Microsoft Edge via CDP; use sap-sac-scripting for non-planning SAC scripts and sap-datasphere for Datasphere modeling.

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Use this Skill: https://skilld.dev/gh/secondsky/sap-skills/sap-sac-planning

This session only. Nothing lands on disk.

referencesinput-tasks.md

≈223 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Input & Review Tasks (SAC 2025.23)

Purpose: structure human data collection and approvals for planning.

Task types

  • Input Task: assign data entry on a planning model slice.
  • Review Task: request approval/feedback after input.
  • Composite Task: bundle input + review + dependencies.

Setup essentials (010, 011)

  • Select model and version; define scope (dimensions/time) for assignees.
  • Set due dates, reminders, and recurrence if needed.
  • Attach instructions/files; add reviewers for approval path.
  • Track status in calendar; tasks can gate subsequent automated steps.

Good practices

  • Align task scope with planning area to avoid partial edits during actions.
  • Use clear naming including model/version and period.
  • Keep dependencies minimal but explicit for sequencing.

Sources: 010-input-tasks.md, 011-plan-data-input-tasks-assigned.md (SAC Help 2025.23).

Source: SKILL.md on GitHub

Third-party checks

1 warning16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill provides comprehensive documentation and automation for SAP Analytics Cloud (SAC) planning applications. It includes guidance on planning models, data actions, and JavaScript APIs. A low-severity risk of indirect prompt injection exists because the skill processes data from external SAP models which could theoretically contain adversarial content.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer6mo

    19/30 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Provenance

Signed by skilld at 620a19a. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 weeks ago.

Activeupdated 2 months ago

Capability

Other metadata
metadata
{
  "maintainer": "Eduard Jiglau",
  "maintainer_email": "hello@sap-ai-skills.com",
  "website": "https://sap-ai-skills.com",
  "version": "2.4.1",
  "last_verified": "2026-06-11",
  "sac_version": "2026.8",
  "documentation_source": "https://help.sap.com/docs/SAP_ANALYTICS_CLOUD/00f68c2e08b941f081002fd3691d86a7",
  "api_reference": "https://help.sap.com/doc/958d4c11261f42e992e8d01a4c0dde25/2026.8/en-US/index.html",
  "reference_files": 26,
  "status": "docs_audited_runtime_pending"
}

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