automation-backlog
Skill1 starsChanged 24 days agoMITView on GitHub
Builds a prioritised automation backlog when repetitive workflows need structured selection and delivery planning.
In this repository133 other files it gives its agents.
- templates/CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- access-control-auditSkill
- ai-opportunity-scanSkill
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- business-continuity-plannerSkill
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- capacity-planningSkill
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- churn-cohort-analysisSkill
- client-handoverSkill
- client-kickoffSkill
- client-profitabilitySkill
- client-relationship-managerSkill
- closeout-packSkill
- compensation-bandsSkill
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- customer-insight-synthesiserSkill
- customer-interview-designerSkill
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- dashboard-requirements-plannerSkill
- data-lineage-mapperSkill
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- decision-logSkill
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- discovery-call-facilitationSkill
- discovery-call-prepSkill
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- discovery-synthesisSkill
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 9
Use after recurring manual work has been identified but before choosing automation designs or delivery dates.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Automation Backlog
When to use it
Use after recurring manual work has been identified but before choosing automation designs or delivery dates.
What Claude needs
client-context.mdfor business background- Workflow steps, volumes, exceptions and handoffs
- Current systems, data sources and process owners
- Constraints, failure impacts and available delivery capacity
Method
- Break each workflow into trigger, action, decision, handoff, exception and outcome.
- Separate rules-based tasks from judgement-heavy work and unstable processes.
- Estimate burden, frequency, error exposure, standardisation and integration complexity.
- Score candidates using a weighted value-feasibility-control model.
- Group quick wins, foundational enablers and complex bets on a dependency map.
- Define acceptance criteria, control points, owners and review dates for top items.
Output format
Produce a backlog table with workflow, task, trigger, benefit, complexity, dependency, control, owner and priority. Add a sequenced first wave and parking lot.
Quality checks
- Candidates automate stable work rather than unresolved process confusion.
- Estimates show assumptions and use the same scoring scale.
- Exceptions, approvals and rollback paths are covered.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

