incremental-delivery
incremental-delivery is an Execution & autonomous loops skill for AI agents, published by UnpaidAttention in the fable5-methodology repository on GitHub. Skillspace rates incremental-delivery D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Build large multi-part deliverables — multi-file projects, migrations, long documents, N-of-the-same-thing work — in verified increments with dependency ordering, checkpoints, a running state note, and consistency sweeps. Trigger this when a task will produce 3+ files, spans more sub-deliverables than fit in one pass, involves repeating a pattern across many sites (endpoints, parsers, pages, records), or is explicitly requested to be done incrementally or resumably. Do NOT trigger for single-file changes (implementation-standards suffices) or for the initial breakdown of an ambiguous request (use task-planning first — this skill governs execution after the plan exists).
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 83
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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