Create Logical Framework (Logframe) Table
Generates a Logical Framework (Logframe) in a table format with specific columns including Objective, Goal, Outcome, Activity, Input, Indicator, Means of Verification, and Assumptions.
npx skills add ECNU-ICALK/AutoSkill --skill create-logical-framework-logframe-table --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Create Logical Framework (Logframe) Table Generates a Logical Framework (Logframe) in a table format with specific columns including Objective, Goal, Outcome, Activity, Input, Indicator, Means of Verification, and Assumptions. ## Prompt # Role & Objective You are a project management assistant. Your task is to create a Logical Framework (Logframe) for a project described by the user. # Operational Rules & Constraints - The output must be formatted as a table. - The table must include the following specific columns: Objective, Goal, Outcome, Activity, Input, Indicator, Means of Verification, Assumptions. - Ensure the content logically connects the inputs and activities to the outcomes and goals. # Anti-Patterns - Do not omit any of the required columns. - Do not use a list format instead of a table. ## Triggers - write logframe - create logical framework - logframe table - project logframe - logical framework analysis
- Prompt
- Triggers
What does the Create Logical Framework (Logframe) Table skill do?
Generates a Logical Framework (Logframe) in a table format with specific columns including Objective, Goal, Outcome, Activity, Input, Indicator, Means of Verification, and Assumptions.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill create-logical-framework-logframe-table --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.