What's Next

SkillAI & models

Diagnose project state and recommend the next concrete step. Spans architecture, implementation, QA, docs, and use-case work.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the What's Next skill

What this skill tells your AI

The instructions your AI receives, as published by leogodin217/leos_claude_starter in .claude/skills/whats-next/SKILL.md and read by ahel’s review.

Look at overall project state and recommend the next concrete step. Output a single primary recommendation with rationale, one or two alternatives, and any smell-flags worth surfacing before the user commits.

This skill is diagnostic and advisory. Do not start work. End by handing the choice back to the user.


Context posture

Full architecture. Run /understand architecture first — it loads the pipeline and the docs/CAPABILITIES.md outline, which together frame what "next" can mean. CLAUDE.md is already in context.

Then read in this order, stopping early if a clear direction emerges:

  1. docs/architecture/README.md Status table — designed vs. implemented per area.
  2. CLAUDE.md Phase Status — current phase scope.
  3. docs/sprints/ — the most recently modified sprint directories. Each sprint is docs/sprints/<name>/; there is no current/ or archive/, and old sprints are deleted rather than moved.
  4. docs/architecture/pending/*.md — every pending design. There is no per-subsystem pending location. Use tools/mdnav first; only read sections that look relevant.
  5. Obsidian features: python3 ~/.claude/skills/note/cli.py list --type feature returns proposed features by default; also run --type feature --status scheduled to see what is queued for next-up. Each feature carries area, priority (p0/p1/p2), depends-on, and related-code. These are explicit future-work candidates — read bodies of high-priority entries and any blocking dependencies.
  6. Obsidian forward-notes: python3 ~/.claude/skills/note/cli.py list --forward. Skim titles and areas; read bodies of any whose subject relates to current work. decision entries are binding rules the team settled; the rest carry deferred design hypotheses, scale-roadmap context, and "may change" guidance. All of it lives out of repo.
  7. git log --oneline -20 and git status — what just landed, what's uncommitted.
  8. python3 ~/.claude/skills/note/cli.py list --type finding --status open — open findings by severity.

Do not read implementation source unless a candidate recommendation requires it to assess feasibility. This skill is fast.


Candidate Domains

A recommendation may live in any of these. Consider all before picking.

DomainWhat it looks like
ArchitectureA pending design to start, finish, or split.
ImplementationA finalized design ready to sprint.
QA / verificationInvariants without tests; doc–code drift (run audit-docs); test gaps in shipped code.
CleanupStale pending docs; paused designs to delete or mark; forward-constraint entries whose retirement trigger has been met but were not pruned post-sprint.
Use casesA CAPABILITIES.md claim or composable-outcome that is not yet demonstrable end-to-end.
ProcessA skill, rubric, or workflow that would unblock recurring friction.

If the project has shipped subsystems but nothing demonstrable end-to-end, lean toward use cases. If it has many pending designs but few implementations, lean toward implementation. Bias toward whatever has been blocked the longest.


Diagnostic Heuristics

Apply these to every candidate before recommending it. Each is a stop-and-rethink trigger, not a hard rule.

HeuristicSmell
Foundation checkDoes the candidate's contract have all its prerequisites designed and (where required) implemented? Missing foundation → recommend the foundation instead.
Consumer checkDoes the candidate ship a concrete first consumer in the same sprint or an existing one? A contract with no caller mutates indefinitely.
Bundling checkCan you name two or more independent open questions inside the candidate? If yes, recommend splitting before starting.
Mutual citationDo two pending designs cite each other? Usually a missing layer underneath. Recommend the layer.
Boundary defenseDoes a pending doc repeatedly assert "X is out of scope"? The boundary is probably wrong; the absent X is deforming the design.
Cycle countHas any pending doc been through ≥3 review cycles without convergence? Treat as a stop-and-rethink signal, not a grind-harder signal.
Test ergonomicsCan the candidate be tested without standing up half another subsystem? If not, the contract is over-coupled.
Forward-constraint rotAre ## Forward constraints introduced entries, or forward decision notes, anticipated rather than discovered? Anticipated entries handcuff future designers; flag them. Also flag any whose retirement trigger was met by a shipped sprint but never pruned.

Output

Produce one response with this shape. Keep it tight; the user is choosing, not reading prose.

## Recommendation

<One sentence: do X next.>

**Why now.** <2–4 sentences. Cite the heuristic(s) that point here and the
specific project-state evidence — file paths, status-table rows, sprint
names, doc lengths, review-cycle count.>

**Scope guardrails.** <Bullet list of what this candidate must NOT bundle,
based on the bundling check. If none apply, omit this block.>

**First consumer.** <Name the concrete thing that will exercise this work.
If none exists, surface that as a problem, not a solution.>

## Alternatives

1. **<Alt 1>.** <One sentence why it's plausible. One sentence why it lost.>
2. **<Alt 2>.** <Same shape. Omit if there isn't a real second alternative.>

## Smells worth flagging

- <Each bullet: a smell from the heuristics table that applies to the
  current project state, regardless of whether it changed the recommendation.
  Cite file paths.>

## Decision needed from you

<One question. Usually: "proceed with <recommendation>, switch to one of the
alternatives, or push back on framing?">

Quality Rules

  • Cite evidence. Every claim about project state names a file, sprint, or commit. No "it seems like" without a path.
  • Recommend concrete next steps, not directions. "Design the run-driver sprint" beats "work on the core layer."
  • One primary, max two alternatives. Three options is a non-answer.
  • Surface smells even when they don't change the recommendation. The user may want to act on them separately.
  • No new files. This skill produces a recommendation, not artifacts.
  • Be willing to recommend cleanup or process. Not every answer is a new sprint. A stale paused design that should be deleted is a valid recommendation.
  • Be willing to push back. If the project's declared next step — an in-flight sprint, a scheduled feature note — is wrong by these heuristics, say so explicitly.

DO NOT

  • Start designing or implementing the recommended work.
  • Recommend more than three things total (one primary + up to two alts).
  • Use the heuristics as a checklist in the output. They're inputs to your judgment, not deliverables.
  • Recommend something blocked by a missing foundation without flagging the foundation.

Signals

GitHub stars
64
Forks
13
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
whats-next
Source
github.com/leogodin217/leos_claude_starter