how
Explain how a subsystem works: triage complexity, fan out explorers on 2 to 4 angles for complex scopes, synthesize into fixed sections.
Skill by TudeOrangBiasa
Chalk Labs
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/how
What's inside
- Skill name
how- Description
- Explain how a subsystem works: triage complexity, fan out explorers on 2 to 4 angles for complex scopes, synthesize into fixed sections. Use for "how does X work", walkthroughs before a change, or placement and layering questions.
- License
- MIT
- Instructions
- 20 lines in SKILL.md · view on GitHub
Files (3)
- CREDITS.md
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# How Answer "how does X work" with a working mental model, at senior-engineer-onboarding depth, never annotated source code. Companion to `why` (what forces shaped it) and blast radius (what it breaks elsewhere). ## 1. Triage complexity Ambiguous scope means stating your interpretation first, then exploring; the user redirects if you are off. - **Simple** (one module, one utility, "how does function X work"): one explainer explores and explains in one pass, without an explorer-findings section. Skip to step 4. - **Complex** (multi-file subsystem, cross-cutting feature, full overview): step 2. - When in doubt, take the simple path. ## 2. Explore (complex only) Decompose the question into 2 to 4 angles, each a distinct slice of the subsystem. Brief one explorer per angle, all in one round so they run concurrently. Each brief is self-contained (goal, scope, context, acceptance, verify, timebox, forbidden, report); pick the model by role from the repo model map (`how-explorer` role) when one exists, else your own model. Explorers are read-only and stay on their own angle. Each explorer reports Components Found (name, file, one line each), Flow (step-by-step with the data between steps), Files Read, Boundaries (inputs and outputs to the rest of the codebase), Non-Obvious Things, and Open Questions (honest gaps). ## 3. Synthesize (complex only) One synthesizer (`how-explainer` role) takes every explorer finding and reconciles them into one picture: merge overlaps, resolve contradictions by checking the code, combine the slices. ## 4. Present Present the synthesis in the sections below, dropping any that do not apply. Light edits for conversation context are fine; do not substantially rewrite it. ## Output sections - **Overview.** 1 to 2 paragraphs: what it is, what it does, why it exists. A reader decides from this alone whether to keep reading. - **Key Concepts.** The types, services, or abstractions needed to follow the rest. Brief definitions, not exhaustive. - **How It Works.** The core and longest section: trigger, step-by-step flow, where data goes, decision points. Prose with file and function references, not pseudocode; no large code blocks unless a snippet is essential. Add a mermaid diagram when components talk to each other or data transforms through stages; skip it when prose covers the flow. - **Where Things Live.** The file and directory map someone needs to start working here. - **Gotchas.** Non-obvious behavior, pitfalls, historical context. Skip when there is nothing worth calling out. Style: concrete language (`UserService` calls `AuthClient.refresh()`, not "the service delegates to the client"); explain why something is complex instead of only describing it; do not pad what is simple; surface open questions and gaps instead of hiding them.
From TudeOrangBiasa/skills-for-agents, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- Oct 13, 2026 (17 days ago)
- Last release
- Oct 23, 2026 (8 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from TudeOrangBiasa
- 0.592score
diagnose
TudeOrangBiasa
Diagnosis loop for hard bugs and performance regressions.
SkillAFreshness: A★ 1Claude Code +9 - 0.589score
show-me-your-work
TudeOrangBiasa
Keep a reviewable decision trail for long or unattended work: TSV log per decision, end audit, cross-model attention flags.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
setup-pre-commit
TudeOrangBiasa
Set up fast hooks with the repo's own toolchain (oxlint/oxfmt, Biome, or Prettier), type checking, tests, and a token-size gate.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
break
TudeOrangBiasa
Stress-test one component against worst-case content and states on a throwaway page, then report what visibly broke.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
arena
TudeOrangBiasa
Parallel design bakeoff: N candidates on one brief, cross-judge, pick a base, graft the best parts.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
interrogate
TudeOrangBiasa
Adversarial multi-model review with rubric and bucketed verdict.
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how skill. Agent Mart. https://agentmart.dev/skills/tudeorangbiasa-how (last updated 2026-10-24)