docs-dry-refactor¶

Erkennt duplizierte MkDocs-Absätze und extrahiert sie in mkdocs-include-markdown-plugin-Snippets.

Operationalises spec/project/mkdocs-structure/ §Snippet inclusion (DRY). Detects paragraph duplication across MkDocs pages and, with per-snippet user approval, extracts duplicates into mkdocs-include-markdown-plugin includes pointing at a canonical source (preferring a live source file over a dedicated per-language _snippets/ folder). Three operations: scan (read-only ranked findings), propose (surface canonical source, markers, include directives for a target snippet ID, await approval), apply (write markers, replace consumer blocks, verify via mkdocs build --strict). Invoke when the user asks to dedupe, DRY-refactor, extract snippets, or factor out duplicated MkDocs content; also handles equivalent German-language requests. Don't use for non-MkDocs markdown trees, single-file snippet authoring, prose linting (prose-vale-curator), structural scaffolding (mkdocs-structure-apply), or drift detection (docs-freshness-checker). Supports resume on re-invocation per spec/claude/resumable-work/.

Plugin: nolte-shared
Phase: 3 Design (design)
Tags: scaffolding, audit
Quelle: skills/docs-dry-refactor/SKILL.md

Anwenden wenn¶

you want to DRY-refactor duplicated content across MkDocs pages
you want to extract a paragraph into a shared snippet with a canonical source
you want a read-only ranked finding list of likely-duplicate paragraphs

Nicht anwenden wenn¶

You want prose-style linting rather than DRY refactoring → prose-vale-curator
You need MkDocs scaffolding rather than content refactoring → mkdocs-structure-apply
You need drift detection across docs → docs-freshness-checker

Siehe auch¶

Referenziert von¶

mkdocs-structure-apply

Docs DRY Refactor¶

Operationalises spec/project/mkdocs-structure/<canonical_language>.md §Snippet inclusion (DRY) inside the current repository. The skill scans the configured docs/<lang>/ trees for paragraph-level duplication that violates the spec's DRY threshold, proposes a canonical-source extraction for each finding, and—after explicit per-snippet user approval—rewrites the consumer pages to include from that source via mkdocs-include-markdown-plugin.

When the spec isn't present in the target repository, fall back to the copy shipped by the nolte-shared plugin (read it at runtime from the plugin install path). Never invent requirements that don't appear in the spec.

Why this is a skill, not an agent¶

Per spec/claude/skill-vs-agent/ §Decision dimensions, this capability is a skill because:

Mid-flow per-snippet user approval is the contract. Each candidate extraction (canonical source choice, marker placement, every consumer's include directive) is a separate user decision; an agent's fire-and-forget shape would collapse the per-snippet approvals into a single opaque report.
Persistent on-disk output that flows back into the main conversation. The findings table, the per-finding proposal, and the build-verification output all surface in the conversation so the user can decide; isolating them in a structured-report boundary would obscure the per-snippet approval surface.
Orchestrator pattern. The skill may later dispatch the audience-doc-author agent for snippet-body authoring (when no canonical source exists and a fresh dedicated snippet file is needed) or chain to mkdocs-structure-apply audit to verify the §Snippet inclusion (DRY) acceptance items post-extract; per spec/claude/skill-vs-agent/ §Hybrid pattern, the orchestrator is always a skill.
Precedent. Follows the same audit-then-act shape as mkdocs-structure-apply and project-structure-apply; portfolio-wide consistency (spec/claude/skill-vs-agent/ §Portfolio-wide consistency) favours the same artifact type and the shared scaffolding, audit tag cluster.
Counter-dimension considered. A narrower agent could specialise on the duplicate-detection scan and gain on context-window protection during large docs trees, but the high-impact part is the per-snippet approval dialogue and the build-verification loop, not the scan itself; skill wins.

User-language policy¶

Detect the user's language from their message and respond in it. Generated file contents (marker comments, include directives, new dedicated snippet files under docs/<lang>/_snippets/) are always written in English so portfolio-wide automation stays predictable.

Tool selection rationale¶

Declared tools: Read, Write, Edit, Glob, Grep, Bash.

Read / Glob / Grep for repository inspection (page walking, paragraph hashing, marker hunting in candidate canonical sources, existing-include detection).
Edit for in-place replacement of duplicated paragraph blocks with {% include-markdown … %} directives, and for inserting start/end marker comments into canonical sources.
Write only for creating a new dedicated docs/<lang>/_snippets/<topic>.md when no canonical source already exists.
Bash is necessary for mkdocs build --strict post-write verification and for filesystem traversal idioms Glob doesn't cover. Bash is never destructive (no git push, no gh pr create, no pip install, no rm outside an explicitly scoped scratch path).
No WebFetch / WebSearch: the spec is the only source of truth.

Preconditions¶

Before doing anything:

Confirm the working directory is a git repository (git rev-parse --is-inside-work-tree).
Locate spec/project/mkdocs-structure/<canonical_language>.md—either in the target repo or via the nolte-shared plugin install path. Read the spec's §Snippet inclusion (DRY) subsection and the four DRY-related Acceptance Criteria items at runtime; never bake the thresholds into the skill. When neither copy is reachable, stop and ask the user which spec source to use (matches the parent spec's §Extension hooks §"Project-type discovery" fallback pattern).
Resolve the language list from spec/.spec-config.yml languages. When that file is absent, ask the user which languages to scan; never default silently.
Verify mkdocs.yml declares mkdocs-include-markdown-plugin and that the plugin is pinned in the project's Python dep manifest. When the plugin is missing, stop and route the user to mkdocs-structure-apply patch to wire the baseline first; this skill never adds the plugin itself.
Check for uncommitted changes in docs/, mkdocs.yml, and any candidate canonical-source files. When the tree is dirty there, report and ask whether to stash, commit, or abort—never overwrite uncommitted work.
Confirm the operation: scan (default, read-only), propose <id> (surface a proposal and await approval), or apply <id> (write after approval).

Operations¶

1. `scan` (read-only, default)¶

Inputs: target repo root (defaults to the current working directory), optional --lang <language> filter.

Walk every docs/<lang>/ tree for languages in the resolved language list. Exclude:

Any folder whose name starts with _ (snippet folders aren't pages).
Generated catalog pages owned by the catalog generator (per spec/claude/skill-agent-catalog/): docs/<lang>/skills/SUMMARY.md, docs/<lang>/skills/<plugin>/<name>.md, docs/<lang>/agents/SUMMARY.md, docs/<lang>/agents/<plugin>/<name>.md, docs/<lang>/tags.md.
Pages already containing at least one {% include-markdown … %} directive—surfaced separately as "partial DRY (existing include chain)" hints, not as fresh findings.

For each remaining page:

Strip YAML frontmatter from the page head (the ----delimited block) before splitting; frontmatter is never DRY-refactored.
Split the body into paragraph blocks separated by one or more blank lines. Treat each fenced code block (…) as one indivisible block even if it spans many blank-line-separated lines.
Normalise each block by collapsing whitespace runs (re.sub(r'\s+', ' ', block).strip()) and hashing the result.
Group blocks sharing the same hash. A finding is any group whose member blocks are ≥3 lines (pre-normalisation) and whose occurrence count is ≥2 pages. The thresholds come from the spec's §Snippet inclusion (DRY) MUST; never bake them in.
Rank findings by line_count × occurrence_count descending.

For each finding, identify the proposed canonical source:

First, search the repository for the verbatim block in non-docs files (CONTRIBUTING.md, pyproject.toml, .github/workflows/*.yml, README.md, source files). When found, propose that file as the canonical source plus the marker positions needed.
Otherwise, propose a new dedicated docs/<lang>/_snippets/<topic>.md (one per configured language tree when the content is language-specific; one shared snippet under the canonical language only when the content is language-neutral).

The scan emits a structured findings table only; never writes.

2. `propose <finding-id>`¶

Inputs: a finding-id produced by a prior scan in the same session.

Surface:

The full snippet body (verbatim, with line count).
The proposed canonical-source path and the start/end marker comment lines to insert there, in the source file's native comment syntax (per Hard rule 12).
For each consumer page, the exact {% include-markdown "<docs_dir-relative-path>" start="<marker>" end="<marker>" %} directive that will replace the duplicated block (paths resolve relative to docs_dir, not to the consuming page; see Gotchas).
The expected mkdocs build --strict delta (pages added or modified, snippet file added when applicable).

End with an explicit approval gate: nothing is written until the user responds with approve <id> or skip <id>. Batch approval (approve all) is acceptable when the user explicitly asks for it; silent rewrite is forbidden (Hard rule 1).

3. `apply <finding-id>`¶

Preconditions: the finding-id has been proposed and approved in this session.

Writes in this order:

Insert the start/end marker comments into the canonical source. When the canonical source is a new dedicated snippet file under docs/<lang>/_snippets/<topic>.md, create the file with the snippet body framed by the markers and no per-page frontmatter (Hard rule 11).
Replace each consumer page's duplicated block with the {% include-markdown … %} directive, preserving page frontmatter and any surrounding paragraphs untouched (Hard rule 2).
Run mkdocs build --strict (Hard rule 5). On non-zero exit, revert every write made for this finding and surface the raw stderr (Hard rule 3); the finding-id stays approved but unapplied so the user can retry after fixing the underlying issue.

Output contract¶

The skill returns to the user, in this order:

Operation + target: which operation ran (scan / propose / apply), absolute target repo root, resolved language scope.
Pre-state (for scan): page count walked, total markdown lines hashed, pages skipped (catalog generator, _-prefixed folders, already-include consumers).
Findings table (for scan): ranked rows with id, lines, occurrences, pages (absolute paths), snippet_preview (first 200 chars), proposed_canonical_source; followed by the approve <id> / skip <id> choice list.
Proposed extraction (for propose): full snippet body, canonical source path with marker positions, per-consumer include directive, expected build delta.
Approval gate (for propose): explicit user-decision point; nothing is written until the user confirms.
Applied edits (for apply): list of files actually written, with absolute paths and the marker comments inserted (one row per file).
Build verification (for apply): mkdocs build --strict exit code; on failure the raw stderr block verbatim plus the revert log.
Caller follow-ups: explicit list — commit the working-tree edits, optionally re-run scan to surface residual findings, optionally route to mkdocs-structure-apply audit to verify §Snippet inclusion (DRY) conformance end-to-end, open the PR via pull-request-create. Never bump the plugin version, commit, push, tag, or open PRs from this skill.

Resumability¶

Per spec/claude/resumable-work/, this skill is resumable: true. State is persisted to .resume/docs-dry-refactor/<run-id>.yml after every successful user-approval gate and after each named phase boundary. On re-invocation, scan that directory for files with status: in_progress whose inputs: snapshot matches the current invocation; if one matches, prompt the operator with Resume run <run_id> from phase <phase> (last checkpoint <last_checkpoint_at>)? [resume / start-new / discard]. The state-file envelope (schema_version, run_id, inputs, phase, decisions[], status, ...) and the fail-closed semantics on schema or YAML errors are load-bearing in the spec; don't duplicate those rules here.

Hard rules¶

Never auto-rewrite. Each proposed extraction requires per-snippet user approval. approve all after a scan is acceptable when the user explicitly asks for it; silent rewrite is forbidden.
Never destroy page frontmatter. When a duplicated block sits next to a page's frontmatter (title, audience, last_updated), preserve the frontmatter intact. Those fields MUST NOT ever migrate into a snippet.
Never commit a page whose mkdocs build --strict fails post-extract. A failing build reverts every write made for the failing finding and surfaces the raw stderr; the finding stays approved but unapplied so the user can retry after fixing the cause.
Always read the spec at runtime. Prefer spec/project/mkdocs-structure/<canonical_language>.md in the target repo; fall back to the copy shipped by the nolte-shared plugin only when the target lacks one. Never bake the DRY thresholds (≥3 lines, ≥2 pages) into the skill. When neither copy is reachable, stop and ask the user which spec source to use.
Always run mkdocs build --strict after every apply. The build is the authoritative rendering gate; a passing local build is the floor, not the ceiling.
Never touch generated catalog pages. docs/<lang>/skills/SUMMARY.md, docs/<lang>/skills/<plugin>/<name>.md, docs/<lang>/agents/<plugin>/<name>.md, docs/<lang>/tags.md are emitted by the catalog generator and are excluded from scan. The skill never rewrites or proposes extractions over them.
Never break existing include chains. Pages already containing {% include-markdown … %} are flagged as "partial DRY (existing include)" hints in scan and skipped from new findings; the skill never overlays a new include over an existing one.
Prefer live-source canonical files over dedicated snippet files. When the duplicated content originates from a non-docs file (CONTRIBUTING.md, pyproject.toml, a workflow step name, a source file), surface that file as the canonical source. Only when no such source exists, propose a new docs/<lang>/_snippets/<topic>.md.
Never bump versions, commit, push, tag releases, or open pull requests. The skill produces working-tree edits only; lifecycle is owned by pull-request-create, pull-request-merge, and release-publish-trigger.
Never dispatch the Skill tool recursively into this skill. The skill MAY orchestrate the audience-doc-author agent for snippet-body authoring and chain to the mkdocs-structure-apply skill (audit mode) for post-extract verification at the explicit hand-off points named in the Output contract; silent recursion isn't allowed.
Dedicated snippet files are fragments, not pages. They MUST NOT carry per-page frontmatter (title, audience, last_updated) and MUST live under a _-prefixed folder inside docs/<lang>/ (typically docs/<lang>/_snippets/) so MkDocs doesn't render them in the nav.
Marker format is consistent and content-named. Start and end markers use the canonical source's native comment syntax ( for HTML and Markdown, # docs-include-start: <name> for YAML and Python, // docs-include-start: <name> for JSON-with-comments). Marker names are kebab-case after the content they bracket (lint-job, release-checklist), never positional (section-1, section-2).
Always apply snippet extractions, marker insertions, and consumer-page rewrites symmetrically across every language tree configured in spec/.spec-config.yml's languages list, per spec/project/docs-multilingual-authoring/ §Authoring protocol. A language-neutral snippet (a code excerpt, a YAML fragment, a CLI transcript) MAY live in only one language tree and be included from every other (the spec's preferred shape for non-prose content); a translatable-prose snippet MUST exist once per language under docs/<lang>/_snippets/. Rewriting a consumer page in docs/<canonical_language>/ without applying the same include directive to every counterpart in docs/<other_language>/ is a violation.

Gotchas¶

Per spec/claude/skill-management/ §Gotchas: concrete corrections to non-obvious environment facts the executing agent would otherwise get wrong.

Whitespace-tolerance vs. semantic equality. Two paragraph blocks are treated as identical only when, after re.sub(r'\s+', ' ', s).strip(), their hashes match. Trailing whitespace, mixed indentation, and consecutive blank lines collapse harmlessly; differing words (even one) produce different hashes and aren't deduplicated. That's the desired behaviour—near-duplicates that diverge by design shouldn't be DRY-refactored (per spec §Snippet inclusion (DRY): "if the wording must diverge by design, the divergence is a sign the content isn't really shared").
Code-fence awareness. Blocks inside … fences count as one indivisible unit and are hashed whole; multi-line code blocks are never split mid-fence. Inline code (single backticks) hashes as part of its containing paragraph, which is the right behaviour for CLI-snippet DRY detection.
Frontmatter is stripped before splitting. The ----delimited YAML block at the page head is removed before paragraph-split, so frontmatter never appears in findings (Hard rule 2 enforces the invariant on the write side; this is the read-side mirror).
mkdocs-include-markdown-plugin resolves include paths relative to docs_dir, not to the consuming page. A {% include-markdown "../CONTRIBUTING.md" %} from docs/en/guides/intro.md resolves from docs/ outward, not from the page file's directory. The skill computes the include path from docs_dir when generating directives so the user doesn't get bitten by the wrong path origin.
Existing include chains are skipped, not consolidated. Pages already containing at least one {% include-markdown … %} are surfaced as "partial DRY" hints (with a note pointing at potentially-overlapping consolidation candidates) but never replaced; consolidating overlapping include chains is a separate decision the user owns, not an automatic transformation.