fluencyloop
SolidFluencyLoop — stay fluent in code as AI writes it. Router/overview for the per-feature loop (design → build+teach → review), the optional up-front planning stage for large chunks, the woven-in constitution that grows from decisions, plus post-merge backfill. Use when the user mentions FluencyLoop, "fluency", the .fluencyloop/ directory, or wants to set up / understand the workflow but hasn't named a specific stage.
Install
Quality Score: 84/100
Skill Content
Details
- Author
- baokhang83
- Repository
- baokhang83/fluencyloop
- Created
- 1 months ago
- Last Updated
- 5 days ago
- Language
- HTML
- License
- Apache-2.0
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
plan
FluencyLoop planning stage. Plan a large chunk of work before building it: design and document the overall architecture, break it into task items, sequence them into a roadmap with a critical path, and (optionally) open GitHub issues under a milestone. Produces a committed plan.md that the per-feature loop then builds from — one feature per task item. Use when the work is too big for a single feature/branch, or when the user says "fluencyloop plan", "plan this", "design the architecture for", "break this down", or "make a roadmap".
backfill
FluencyLoop safety net. Reconstruct store records for work that shipped without going through the loop — reads a merged diff, records the feature, session, decisions, knowledge, and architectural concepts, and defaults reconstructed decisions to unverified. Use post-merge, or when the user says "fluencyloop backfill", "document this PR after the fact", or "we skipped the loop on this one".
feature
FluencyLoop Stage 2–3. Declare a feature and build it while staying fluent: creates the feature branch, frames its concepts and relationships, then builds in slices, teaching the why of each real decision at the slice boundary and journaling it. Probes the concepts the work needs up front, adapts explanation depth to the developer's knowledge, and builds/maintains a per-developer knowledge base in ~/.fluencyloop. Use when starting a new unit of work in a repo that has a .fluencyloop/ directory, or when the user says "fluencyloop feature", "start a feature", or describes something they want to build with FluencyLoop.