LaunchKit · 2026
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nonprofit-rbm-logic-model

Build donor-ready Results-Based Management (RBM) logic models for nonprofit and non-governmental organization (NGO)

3
457 downloads
by @vassiliylakhonin

Setup & Installation

openclaw skills install @vassiliylakhonin/nonprofit-rbm-logic-model

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install nonprofit-rbm-logic-model

Version History

v1.0.7Mar 16, 2026 - Version note by skill developer:

Skill renamed and refocused with streamlined documentation. - Renamed from "nonprofit-rbm-logic-model" to "ngo-program-design-suite" - Updated description and tags for broader NGO program design and grant proposal use - Completely rewritten documentation with simplified instructions and donor-oriented structure - Removed references to internal scripts, reference files, and gating system - Five files (including LICENSE and implementation scripts) were removed for a cleaner, documentation-only release

What This Skill Does

Generates structured grant proposal packages for NGO and nonprofit teams, covering RBM results chains, theory of change, logframes, SMART indicators, monitoring plans, and SDG alignment. Outputs are formatted to meet donor standards for USAID, EU, GIZ, and UN funding bodies.

Combines RBM, theory of change, logframes, indicator frameworks, and SDG mapping into a single structured output rather than requiring separate templates or tools for each component.

When to use it

  • Drafting a USAID-aligned logframe for a youth employment program
  • Building an RBM results chain for a rural health initiative
  • Mapping a climate resilience project to relevant SDGs
  • Creating a monitoring and evaluation plan for an EU-funded grant
  • Generating a full proposal outline for a GIZ development project

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Create a donor-ready program design package for a youth employment initiative in rural Kenya

AGENT
  1. 1Drafts problem statement and defines target population
  2. 2Builds RBM results chain from inputs through activities, outputs, outcomes, to impact
  3. 3Generates theory of change narrative with assumptions and risks
  4. 4Produces a logframe table with indicators, means of verification, and assumptions at each results level
  5. 5Maps outcomes to relevant SDGs and compiles a monitoring plan with baselines, targets, and reporting frequency
OUTPUT

A 9-section donor-ready package including problem statement, RBM chain, theory of change, logframe, indicator framework, monitoring plan, SDG alignment, risks, and proposal outline