insight-explore
Skill15 starsChanged 14 days agoApache-2.0View on GitHub
Explore possible implementations before committing, targeting three distinct options while reporting evidenced constrained or unresolved outcomes honestly. Trigger when the user runs /explore or asks to "brainstorm options", "what are the ways to do this", "explore approaches", "give me alternatives", or wants divergent thinking before planning or assessment. Use insight-assess to evaluate known options, insight-critique to review an existing output, and plan-create to turn a chosen direction into an implementation plan.
In this repository95 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- agent-mailboxSkill
- agent-outputSkill
- ask-gateSkill
- ask-meSkill
- audit-coupled-constantSkill
- budget-checkSkill
- build-prototypeSkill
- caller-optionsSkill
- cold-reviewSkill
- debug-taskSkill
- define-termsSkill
- defuddleSkill
- design-an-interfaceSkill
- diff-recapSkill
- directives-auditSkill
- domain-checkSkill
- double-checkSkill
- extract-signalSkill
- freshness-contractSkill
- github-syncSkill
- handoff-executeSkill
- handoffSkill
- headless-claudeSkill
- headless-codexSkill
- headless-geminiSkill
- headless-grokSkill
- headless-modelsSkill
- headless-update-modelsSkill
- headless-usageSkill
- human-drawSkill
- human-mergeSkill
- human-outputSkill
- human-rewriteSkill
- implement-taskSkill
- improve-codebase-architectureSkill
- insight-adversarialSkill
- insight-anglesSkill
- insight-assessSkill
- insight-critiqueSkill
- insight-cross-examineSkill
- insight-premortemSkill
- insight-reference-classSkill
- insight-retroSkill
- insight-root-causeSkill
- insight-skill-gapSkill
- insight-test-assumptionSkill
- insight-value-of-informationSkill
- investigateSkill
- json-canvasSkill
- map-checkSkill
- map-initSkill
- map-maintainSkill
- map-rulesSkill
- map-thisSkill
- monorepo-depsSkill
- multi-agent-modeSkill
- next-skillsSkill
- 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 59
MUST NOT write code or make changes — this is ideation only.
≈ “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
/explore
Divergent thinking — target three distinct feasible implementation options, then converge on a recommendation. Produces options, not plans.
Structured execution spec:
protocol.yon. Read it for the canonical rules and step sequence; this file is explanation. The two must stay in sync — if you edit one, update the other and refresh the@STAMPdate.
Brainstorming Protocol — explore before committing.
/insight-exploregenerates alternatives (divergent)./insight-assessevaluates them (convergent)./plan-createdesigns the chosen approach.
Phase 1 — Divergence
- Analyze constraints — what are we optimizing for? What are the hard requirements vs. preferences?
- Option A: The Standard Pattern — the obvious, well-trodden approach. What would most engineers reach for first?
- Option B: The Performance Way — optimized for speed, scale, or efficiency. Possibly more complex.
- Option C: The Minimalist — YAGNI. Smallest footprint that still solves the problem.
Additional options may be added if the problem space warrants them (e.g., event-driven, type-safe, or zero-dependency variants).
Phase 2 — Convergence
Compare all options across:
- DX — developer experience, API ergonomics, debuggability
- Robustness — error handling, edge case coverage, failure modes
- Timeline fit — how long does each take to implement and validate?
- Alignment — does it match existing patterns and coding standards in the repo?
Phase 3 — Recommendation
Output:
- Winner — which supported option and why, or an explicit constrained/unresolved outcome with its decisive gap
- Reason — 1–2 sentences, referencing the comparison
- Next step — ask the user: "Shall I
/plan-createthis?"
Rules
- Target three distinct feasible options and search for at least two; if evidence supports only one or none, report that constrained or unresolved result, the bounded search scope and decisive gap. Never invent cosmetic alternatives or a winner.
- MUST NOT write code or make changes — this is ideation only.
Next Steps
/insight-assess— evaluate the winner in depth before committing/plan-create— design the chosen approach
Human output. This skill's handler-facing output obeys the human-output contract (
human-output/SKILL.md).
Next skills. On completion, run the Next Skills protocol (
next-skills/SKILL.md): surface thenext-skillsrecommendations from front-matter for the caller to pick. Offer only — never auto-invoke.
Self-improvement. On completion, run the Self-Improvement Protocol (
self-improve/SKILL.md): apply its signal taxonomy and threshold to this run; surface any surviving proposal for handler approval. Conservative — silent otherwise. Never auto-apply.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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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.

