KISS
Keep It Simple — honestly. Look at what is used or planned (goals, processes, systems, workflows), judge whether it is overly complex, and only then recommend simplification. If complexity is earned, say so and protect it.
Simple here means:
- A straightforward DAG from now → done (clear dependencies, few parallel critical paths, obvious stop).
- Right-sized tasks — not micro-chores that thrash context, not epic blobs that hide risk.
- Least mechanism that still serves the vision and constraints (safety, scale, compliance, team reality).
Operating contract
Shared by every DecisionNerd/dev-skills skill. Canonical copy:
handbook/concepts/14-operating-contract.md
.
- Define done first. Before using tools, write the finish line in one or two lines: the acceptance criteria (existing issue AC, BDD scenarios, tests, or contract when they exist; otherwise propose them and say where they should live) and the evidence that will prove them. Re-check it before reporting done. Never report done on work you did not verify.
- Requested scope sets the finish line. A question ("is it ready?", "why is it broken?", "what next?") ends with the answer and a line naming the exact next invoke. An outcome request ("fix", "finish", "land", "#42") continues through the chain (diagnose → fix → test → check-readiness → merge-it) until the outcome or a real blocker. Do not end a turn with "Do you want me to…?" for in-scope, in-repo work.
- Stop only for real blockers. Stop and ask only when you cannot continue without the user, or before: deleting data or unmerged work, force-push or history rewrite, changing anything outside this repository (GitHub objects, deployments, live data, production or paid resources, external services), or leaving the requested scope, unless the user's request already named that exact action. Keep the harness's permission prompts for risky commands. Otherwise keep going and put status notes in the same message as the next action.
- Ask well, once. For a genuine question use the harness's structured question tool when it has one (Claude Code: ; Codex: when the current mode supports it) with concrete options; otherwise plain text with numbered options. Treat the answer as settled; do not re-open earlier verdicts, plans, or answers unless asked.
- Fan out when work is parallel. Use subagents for independent reads (repo survey, evidence gathering, per-option research, per-area audits) and for independent verification (a reviewer that did not write the change). Writes stay single-owner per path set and sequential. Brief every child with goal, done-when, constraints, must-not, and return shape; verify each child's result before consolidating. Use Claude Code's tool only for orchestration across many subagents that truly needs it; it is expensive.
- Pick the model tier per child; defer to routing config. If the harness or user config already routes subagents (Claude Code
CLAUDE_CODE_SUBAGENT_MODEL
or a CLAUDE.md rule; Codex agents.default_subagent_model
or a role's agents.<name>.config_file
; Cursor a custom subagent's frontmatter), follow it and do not pass a model. Otherwise: mechanical search or inventory → fast/cheap (Claude Code ); implementation and evidence gathering → mid (); planning, review, adversarial verification → top ( or ). In Claude Code set it with the tool param or agent frontmatter ; in Codex pass a spawn model or set in the role's config file; in Cursor set (default ) in . Where the harness cannot choose, children inherit the parent model or the harness picks one (Cursor's built-in Explore/Bash/Browser subagents pick per subtask); say which in the status note.
- Keep a checklist on long runs. For more than about five steps or work that crosses skills, keep at the repo root and tick items as they finish. Do not commit it unless the repo already tracks one.
- Close every run with three headings. (the one genuine question or blocker, else "none"); (files, commits, GitHub objects, deploys, else "nothing"); (evidence, verdict, and ).
Commands
| Command | What it does |
|---|
| (none) / | Full KISS pass on the named (or inferred) target |
| Focus on goal/scope sprawl vs vision-tied outcomes |
| Focus on rituals, checklists, handoffs, approval chains |
| Focus on architecture, services, tools, agent stacks |
| Focus on an implementation plan / milestone / issue set |
| / | Draw or critique the task DAG; resize nodes |
| / | List commands |
Target: path, issue/PR/milestone, doc, plan paste, agent design, or “current work.”
Routing
- No args → on current git/docs scope (brief survey first).
- First word is a command → that lens; remainder is target.
- Clear intent (“is this architecture too much?”, “simplify the rollout plan”) → map and run.
Read-only by default. Do not delete systems, rewrite plans, or cut scope until the user accepts a recommendation.
Hard rules
- No automatic reductionism. Complexity that buys safety, clarity, scale, or irreversible-risk control can stay. Say keep when keep is right.
- Always present benefits and risks of simplifying (and of not simplifying).
- Prefer one primary recommendation: simplify / keep / reshape (right-size without net removal).
- If recommending simplify, show the simpler DAG and what was removed or merged — and what must remain.
- Tasks in the DAG must pass the Goldilocks test: each node is finishable in one focused session (or clearly “part N”), has a done-when, and is not a fake split of a single thought.
Workflow ( and siblings)
1. Scope the target
Name what you’re kissing: goal set, process, system, plan, or flow. Skim evidence (docs, code layout, issue graph, agent config, user’s paste). If scope is fuzzy, ask one clarifying question (structured question tool when available, else numbered options) or run a 30-second
-style git glance. For large targets (multiple areas or packages), one subagent per lens/area (fast tier) in parallel; an independent top-tier subagent argues "keep" before you recommend "simplify"; verify each before consolidating.
2. Describe current shape
- Intent — what success is
- Pieces — goals / steps / components / roles
- Coupling — what depends on what (sketch a DAG)
- Tax — coordination cost, cognitive load, failure modes, time-to-value
3. Complexity verdict
Choose one:
| Verdict | Meaning |
|---|
| Overly complex | Mechanism exceeds need; DAG is tangled, tasks wrong-sized, or redundant layers don’t buy required properties |
| Earned complexity | Extra pieces buy real constraints (safety, scale, compliance, multi-team); simplifying would shift risk |
| Wrong-shaped | Not necessarily too much — nodes too big/small, or DAG unclear — reshape without reductionism |
Do not invent “overly complex” to have something to cut.
4. Risks & benefits
Always fill both columns:
If we simplify
If we keep as-is
5. Recommendation
One primary call:
- Simplify — what to remove/merge/replace; simpler DAG; migration notes
- Keep — what complexity is doing; what not to touch; optional light cleanup only
- Reshape — right-size tasks / clarify DAG / rename stages without net capability loss
Optional alternates (≤2). Hand off:
,
,
,
,
,
, DocSlime/ProductFeeling if product-shaped.
Output shape
markdown
## KISS: <target>
**Lens:** audit | goals | process | system | plan | flow
**Current shape**
- Intent: …
- Pieces: …
- DAG (sketch): …
- Tax: …
**Verdict:** overly complex | earned complexity | wrong-shaped
**Why:** <3–5 lines>
**Simplify?**
| --- | --- | --- |
| Simplify | … | … |
| Keep as-is | … | … |
**Recommend:** Simplify | Keep | Reshape
**Do next:** <concrete steps or skill invokes>
**Simpler / clearer DAG:** <mermaid or bullets, if recommending change>
**Blocked on me**
(none, or the one genuine question or missing decision)
**Changed**
(nothing — read-only; or what was reworded/removed if reshape was applied)
**Found**
Verdict, recommendation, simpler DAG if applicable. Next: `<exact invoke — e.g. refactor-it, issues narrow, agents design>`.
Goldilocks task sizing
| Too small | Just right | Overly big |
|---|
| Split that forces thrash / fake progress | One session, clear done-when, single owner | Hides risk; can’t DAG; “and also…” |
Merge micro-tasks; split epics at real dependency or risk boundaries — not at arbitrary checklist length.
Related skills
- Lost on what matters →
- Tactical scout →
- Code structure only →
- Issue/milestone scope → /
- Agent stacks →
agents analyze|design|optimize
(slap first if thrashing)
- Docs bloat → DocSlime / as appropriate
Grounding
This skill’s TTPs are grounded in current engineering baselines (DORA, GitHub Docs, Fowler/Beck, Google SRE & SWE book, OpenTelemetry, OWASP LLM / NIST AI RMF, Diátaxis — see handbook
).
Beck’s simple-design order (pass tests → reveal intent → remove duplication → fewer elements) and Gall’s Law: simplify when complexity is unearned, not by deleting needed safety. DORA loosely coupled architecture rewards deployable simplicity.
Handbook card:
handbook/practices/kiss.md
.