patterns
Use when starting a feature from a skeleton project, or when adding a repository interface or a shared API response envelope.
Skill by fmflurry
Chalk Labs
Need help deploying patterns?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
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.
npx agentmarket install skill/fmflurry-patterns-366183
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: backend
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
patterns- Description
- Use when starting a feature from a skeleton project, or when adding a repository interface or a shared API response envelope.
- License
- MIT
- Instructions
- 35 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Common Patterns why-not-tooled: skeleton choice, repository shape, and response envelopes are design judgment, not a lint rule. ## Skeleton Projects When implementing new functionality: 1. Search for battle-tested skeleton projects 2. Use parallel agents to evaluate options: - Security assessment - Extensibility analysis - Relevance scoring - Implementation planning 3. Clone best match as foundation 4. Iterate within proven structure ## Design Patterns ### Repository Pattern Encapsulate data access behind a consistent interface: - Define standard operations: findAll, findById, create, update, delete - Concrete implementations handle storage details (database, API, file, etc.) - Business logic depends on the abstract interface, not the storage mechanism - Enables easy swapping of data sources and simplifies testing with mocks ### API Response Format Use a consistent envelope for all API responses: - Include a success/status indicator - Include the data payload (nullable on error) - Include an error message field (nullable on success) - Include metadata for paginated responses (total, page, limit)
From fmflurry/settings-opencode, MIT.
More from fmflurry/settings-opencode
- 0.779score
interfectio-commentarum
poteto
Spawn Haruspex Commentorum, fix accepted findings, and offer encodings for claimed constraints.
SkillAFreshness: A★ 171Claude Code +9 - 0.655score
chimera
poteto
Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it.
SkillAFreshness: A★ 171Claude Code +9 - 0.649score
humanizer
poteto
Cut AI tells from any writing.
SkillAFreshness: A★ 171Claude Code +9 - 0.643score
e2e
fmflurry
Resolve this project's browser end-to-end stack before /e2e or e2e-runner writes tests.
SkillAFreshness: A★ 171Claude Code +9 - 0.643score
show-your-work
fmflurry
Keep a reviewable decision trail for long-running or unattended work: a TSV log with one row per decision (what, why, evidence, result).
SkillAFreshness: A★ 171Claude Code +9 - 0.643score
why
fmflurry
Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds.
SkillAFreshness: A★ 171Claude Code +9 - 0.641score
verify-this
fmflurry
Verify a claim with fresh local evidence: restate it falsifiably, capture baseline and treatment, compare artifacts, and return VERIFIED, NOT VERIFIED, or…
SkillAFreshness: A★ 171Claude Code +9 - 0.640score
create-verification-skill
fmflurry
Use when creating or refreshing a project's verify-this override.
SkillAFreshness: A★ 171Claude Code +9 - 0.639score
angular-ddd
fmflurry
Domain-Driven Design for Angular/TypeScript: functional patterns with `type` aliases, `readonly` fields, pure rule functions, immutable value types, branded…
SkillAFreshness: A★ 171Claude Code +9 - 0.639score
codebase-exploration
fmflurry
Use when searching a repository, looking up symbols, callers, callees, or imports, and when deciding whether CodeMemory is on.
SkillAFreshness: A★ 171Claude Code +9 - 0.639score
patterns
fmflurry
Use when starting a feature from a skeleton project, or when adding a repository interface or a shared API response envelope.
SkillAFreshness: A★ 171Claude Code +9 - 0.639score
socratic-design
fmflurry
Use when a planning, design, architecture, or refactor decision is still open.
SkillAFreshness: A★ 171Claude Code +9
Signals
- Stars
- 171
- Forks
- 9
- Open issues
- 0
- Last commit (this folder)
- Oct 18, 2026 (13 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/fmflurry/settings-opencode
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.639score
patterns
fmflurry
Use when starting a feature from a skeleton project, or when adding a repository interface or a shared API response envelope.
SkillAFreshness: A★ 171Claude Code +9 - 0.333score
patterns
fmflurry
Use when starting a feature from a skeleton project, or when adding a repository interface or a shared API response envelope.
SkillAFreshness: A★ 171Claude Code +9
More from fmflurry
- 0.643score
why
fmflurry
Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds.
SkillAFreshness: A★ 171Claude Code +9 - 0.643score
show-your-work
fmflurry
Keep a reviewable decision trail for long-running or unattended work: a TSV log with one row per decision (what, why, evidence, result).
SkillAFreshness: A★ 171Claude Code +9 - 0.643score
e2e
fmflurry
Resolve this project's browser end-to-end stack before /e2e or e2e-runner writes tests.
SkillAFreshness: A★ 171Claude Code +9 - 0.641score
verify-this
fmflurry
Verify a claim with fresh local evidence: restate it falsifiably, capture baseline and treatment, compare artifacts, and return VERIFIED, NOT VERIFIED, or…
SkillAFreshness: A★ 171Claude Code +9 - 0.640score
create-verification-skill
fmflurry
Use when creating or refreshing a project's verify-this override.
SkillAFreshness: A★ 171Claude Code +9 - 0.639score
codebase-exploration
fmflurry
Use when searching a repository, looking up symbols, callers, callees, or imports, and when deciding whether CodeMemory is on.
SkillAFreshness: A★ 171Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get patterns running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
patterns skill. Agent Mart. https://agentmart.dev/skills/fmflurry-patterns-366183 (last updated 2026-10-24)