mcpbeat Sign in

Refiners Update Agent Skill

Update existing Lattice standards after a significant change — the update-mode counterpart to lattice-init. Scans .lattice/standards/, asks what changed, and routes each affected standard to its refiner's revise mode, recording a git-native change note. Use when the user says 'update refiners', 'refiners update', 'our standards changed', 'update our standards', 'the architecture changed, update the standards', 'we switched languages, update the standards', 'revise standards after a big change', or 're-run the refiners'.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
169
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/techygarg/lattice --skill refiners-update

The instruction itself

11 sections, as written by the author

Refiners Update

The update-mode counterpart to lattice-init. Where lattice-init detects *missing* standards and routes you to refiners to create them, this molecule detects *existing* standards and routes you to each refiner's revise mode to update them after a significant change — then records what changed and why.

It orchestrates the refiners; it never reimplements their interviews. Versioning is git-native: history lives in commits, and each revised document gets a one-line change note. No version numbers are introduced.

Required Skills

Read, apply:

  • framework:knowledge-priming -- Load project context. Understand what the project is and how the code has drifted from the current standards (always).

What This Does (and does not)

  • Does: coordinate revising one or more *existing* standards documents after a change, and append a change note to each.
  • Does not: create standards that do not exist yet (that is lattice-init + the relevant refiner), reimplement any refiner's interview, or introduce version numbers.

If the change requires a standard that does not exist yet (e.g. the team just adopted DDD but there is no ddd-principles.md), that is creation — direct the user to /lattice-init or the relevant refiner to create it, and note it in the summary.

Refiner → standards document map

| Standards doc (in .lattice/standards/) | Refiner to revise it | Config key |

|---|---|---|

| knowledge-base.md | /knowledge-priming-refiner | paths.knowledge_base |

| language-idioms.md | /language-idioms-refiner | paths.language_idioms |

| architecture.md | /architecture-refiner | paths.architecture |

| ddd-principles.md | /ddd-refiner | paths.ddd_principles |

| clean-code.md | /clean-code-refiner | paths.clean_code |

| review-standards.md | /review-refiner | paths.review_standards |

| requirement-standards.md | /requirement-forge-refiner | paths.requirement_standards |

> Maintainer note: This table mirrors the refiner inventory. When a refiner is added or removed, update this table (and lattice-init's refiner list). skill-align flags inventory drift across docs.

Workflow

Step 1: Scan existing standards

Read .lattice/config.yaml. For each row in the map above, resolve the path (use the config key's value if set, otherwise the default .lattice/standards/{file}) and check whether the document exists. For each existing document, read its footer to note the current mode (overlay/override) and any prior "Last updated" line.

Present the result:

## Current Standards
- knowledge-base.md:      [exists (overlay, last updated 2026-05-02) / not found]
- language-idioms.md:     [exists / not found]
- architecture.md:        [exists / not found]
- ddd-principles.md:      [exists / not found]
- clean-code.md:          [exists / not found]
- review-standards.md:    [exists / not found]
- requirement-standards.md: [exists / not found]

STOP: If no .lattice/config.yaml exists, or no standards documents are found: there is nothing to update. Tell the user: "No existing standards found. Run /lattice-init to create them first." Do not proceed.

Step 2: Capture what changed

Ask the user what changed and why — in one or two sentences. This is the trigger. It becomes the change note recorded on each revised document and drives which standards are affected.

If the answer describes more than one distinct change (e.g. an architecture shift *and* a language switch together), capture each as its own short reason instead of one merged sentence. Each affected standard's change note (Step 4) must carry only the reason(s) that actually apply to it — a doc should never be stamped with a reason for a change that did not touch it.

Prompt with the common change types if the user is unsure:

  • Architecture shift (new layer, moved to CQRS, dropped a pattern)
  • Language or framework change
  • New or revised domain rules (aggregates, invariants)
  • New review or quality policy
  • Project identity / stack / directory layout change
  • A learning that should become a standing rule

Step 3: Map the change to affected standards

From the trigger, propose which existing standards are likely affected and why. Present the proposed set with reasoning; do not silently decide the scope.

| Change type | Likely-affected standards |

|---|---|

| Architecture shift | architecture.md; review-standards.md if it gates on architecture rules |

| Language / framework change | language-idioms.md; clean-code.md if limits are language-specific |

| Domain rules | ddd-principles.md; architecture.md if the domain layer's placement changed |

| Review / quality policy | review-standards.md; clean-code.md |

| Project identity / stack / layout | knowledge-base.md |

| Requirement / spec policy | requirement-standards.md |

| A learning promoted to a standing rule | whichever standard the rule belongs to — clean-code.md, review-standards.md, or architecture.md |

Ask the user to confirm or adjust the set before proceeding. Only documents that actually exist (from Step 1) are eligible — for anything that should change but does not exist yet, follow the creation note above.

If Step 2 captured more than one distinct change, tag each affected standard with which of those change(s) justifies its inclusion — a doc can be justified by more than one. Carry this doc-to-reason tagging into Step 4; it determines what each doc's change note says.

Step 4: Revise each affected standard

Execution model: You — the AI running this molecule — drive each revision yourself: load and apply the refiner skill's revise flow as part of this molecule's execution, then return here to append the change note before moving to the next standard. Do not hand control back to the user and end your turn between revising and noting — the change note is this molecule's responsibility and must be written while you still hold control. (If a refiner is instead run as a separate session, the note will be missed — re-invoke /refiners-update afterward; its idempotent re-scan re-detects the revised document so the note still gets recorded.)

For each confirmed standard, in the order it appears in the map:

  • Offer the choice: Revise now, Skip, or Skip all remaining.
  • On Revise now: apply the corresponding refiner's revise path — its own "Check for existing documents → Revise" flow, which loads the existing document and updates only the sections the change touched. Reference and apply the refiner skill; do not copy its interview here. Tell the user: "Applying {refiner} in revise mode to update {doc}."
  • When the refiner's revision completes and control returns here, append (or update) the change note as the final line of the document's existing footer, matching the footer's own plain-italic style (*...*) — not a blockquote:
   *Last updated: {YYYY-MM-DD} — {this doc's tagged reason(s) from Step 3}*

Use the current date, and only the reason(s) tagged to this specific doc — not the full multi-change text from Step 2 when other captured changes did not touch it. If a prior "Last updated" line exists, replace it with the new one.

  • On Skip: move to the next standard. On Skip all remaining: jump to Step 5.

Step 5: Summary

Report:

## Standards Updated
- [doc]: revised — [one-line reason]
- [doc]: skipped
- [doc]: needs creation — run /{refiner} (did not exist)

Remind the user:

  • History is git-native — there are no version numbers. The change note carries the "why"; git log carries the "when".
  • Commit the revised standards together with a message that names the change (e.g. chore(standards): revise architecture + review after move to CQRS).

Session behavior

This molecule is idempotent and re-runnable. It owns no living document of its own — every invocation re-scans the current state in Step 1, so running it again after a partial pass simply re-detects what exists and what changed. There is no partial-session document to resume.

Other skills for the same job

different authors, same section of the catalogue
MCP Builder
by anthropics
vendor ×13

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

30k tokens scripts
Changelog Generator
by frostant
×9

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

774 tokens
Finishing A Development Branch
by ZhanlinCui
×7

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

1k tokens
MCP Builder
by JayZeeDesign
×7

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

37k tokens scripts
Vercel React Native Skills
by vercel-labs
vendor ×6

React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.

39k tokens
Vercel React Best Practices
by ratacat
×5

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

34k tokens
Next Best Practices
by vercel-labs
vendor ×4

Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling

20k tokens
Using Git Worktrees
by ZhanlinCui
×4

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification

1k tokens

How to use it

Copy the folder

Take techygarg/refiners-update from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.