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Product & Design Skills

Skill pack
12 skills0 selected
opendatadiscoverySkills in this pack

Use when the user runs /doc-align:align to check if documentation needs updating after code changes. AI-analyzes the change impact on project docs, generates a detailed report, and updates docs after user confirmation.

English

Run the feature-advisor query-time subagent over the full ontology to produce a structured impact assessment for a proposed feature or change. Maintainer asks "I want to add X — what's affected?" The agent reads sidecars + concepts.yaml + implicit-adrs.md + refactoring-scopes.md + doc-gaps.md + test-map.yaml + existing adrs/ + live ODD docs (via WebFetch), and emits lineage/{repo}/feature-walks/{date}-{slug}.md — a planning aid the maintainer reads BEFORE writing code.

English

Analyze test coverage gaps. Use when user says "test coverage", "what's not tested", "coverage gaps", "missing tests", "coverage report", or "what needs testing".

English

Run the doc-gap-finder reducer subagent over the per-node enrichment sidecars + the concept catalog + the live documentation site. Produces or refreshes lineage/{repo}/doc-gaps.md — a ranked list of DOC-NNN candidates (broken URLs, missing anchors, code-doc drift, missing pages, coverage gaps, stale pages) with full citations the maintainer triages into the backlog.

English

Generate or refresh coverage manifest for a scanner — lists ALL items in scope so scans can track progress across sessions.

English

Run the adr-archaeologist reducer subagent over the per-node enrichment sidecars + concepts.yaml + existing adrs/. Applies the 3-question wisdom test (per Nygard 2011 / adr.github.io / AWS Prescriptive Guidance) to distinguish DELIBERATE architectural decisions from IMPLEMENTATION GAPS. Emits TWO artefacts: lineage/{repo}/implicit-adrs.md (real ADR candidates only — backbone decisions, classified as promote / extend-existing / drift / unique-load-bearing) AND lineage/{repo}/refactoring-scopes.md (gap-shaped findings — absent features, missing validation, buggy defaults — actionable as DOC-NNN / TEST-NNN / SEC-NNN / PERF-NNN backlog items, NOT as ADRs).

English

Scan a repo for mixed ADRs, PRDs, SPECs, and DOCs and bootstrap or merge the full .planning/ setup from them. Classifies each doc in parallel, synthesizes a consolidated context with a conflicts report, and routes to new-project or merge-milestone depending on whether .planning/ already exists.

English

Draft an upstream-repo GitHub issue on disk. Creates the next ISS file under issues/{repo}/ with paste-ready frontmatter + body skeleton. The actual filing into GitHub is a deliberate human action — this skill never opens a real issue.

English

Autonomous batch driver for the rev-2 agentic-ontology sprint. Picks the next pending theme from state/sprint-themes.yaml, spawns 5 file-analyser subagents in parallel, then 5 reducers in parallel, merges deltas, refreshes coverage, appends the investigator-log entry, commits, pushes to remote, marks the theme done. Designed to be fired by /loop overnight without maintainer input.

English

Generate probe-skeleton YAML files at lineage/{repo}/probes/{P-NNN}.yaml from feature-flows.yaml's uncovered test-matrix cells. Each skeleton carries the featureid + testclass + cross-references + a TODO-marked arrange/act/observe/assert block the maintainer fills in. Accelerates probe corpus growth — slice 4 of dynamic-verification ADR. Local-only per APPROACH.md section 5 rule 12.

English

Run one or more dynamic-verification probes against a local ephemeral docker-compose mirror of the target system. Captures observation traces as committed artefacts at lineage/{repo}/probe-runs/{date}-{probeid}.yaml and merges measured values back into feature-flows.yaml, test-map.yaml, and per-sidecar confidenceperfield annotations. Local-only execution per APPROACH.md section 5 rule 12 + section 9 — no remote infrastructure ever. Slice 2 of adrs/drafts/dynamic-verification-layer.md.

English

Run the feature-reflector subagent (Layer 4b — top-down product-owner reflection) over one composed feature flow. Produces lineage/{repo}/feature-reflections/detail/{F-NNN}.yaml with a stepped-back product-owner narrative + 5-15 falsifiable user-facing hypotheses + per-hypothesis verdicts (confirmed / contradicted / partial / probe-needed) traced through the implementation chain. Contradictions are surfaced as bug-candidate / caveat-candidate findings — cross-file intent-vs-implementation drifts no single sidecar can see in isolation. Per APPROACH.md section 15 + rev-5 LSN-020 case-law.

English

Includes Doc Gap Check, Find Implicit Adrs, Gsd:ingest Docs, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills12CategoryproductStars0

What’s included

Align

Use when the user runs /doc-align:align to check if documentation needs updating after code changes. AI-analyzes the change impact on project docs, generates a detailed report, and updates docs after user confirmation.

Code Walk

Run the feature-advisor query-time subagent over the full ontology to produce a structured impact assessment for a proposed feature or change. Maintainer asks "I want to add X — what's affected?" The agent reads sidecars + concepts.yaml + implicit-adrs.md + refactoring-scopes.md + doc-gaps.md + test-map.yaml + existing adrs/ + live ODD docs (via WebFetch), and emits lineage/{repo}/feature-walks/{date}-{slug}.md — a planning aid the maintainer reads BEFORE writing code.

Coverage

Analyze test coverage gaps. Use when user says "test coverage", "what's not tested", "coverage gaps", "missing tests", "coverage report", or "what needs testing".

Doc Gap Check

Run the doc-gap-finder reducer subagent over the per-node enrichment sidecars + the concept catalog + the live documentation site. Produces or refreshes lineage/{repo}/doc-gaps.md — a ranked list of DOC-NNN candidates (broken URLs, missing anchors, code-doc drift, missing pages, coverage gaps, stale pages) with full citations the maintainer triages into the backlog.

Enumerate

Generate or refresh coverage manifest for a scanner — lists ALL items in scope so scans can track progress across sessions.

Find Implicit Adrs

Run the adr-archaeologist reducer subagent over the per-node enrichment sidecars + concepts.yaml + existing adrs/. Applies the 3-question wisdom test (per Nygard 2011 / adr.github.io / AWS Prescriptive Guidance) to distinguish DELIBERATE architectural decisions from IMPLEMENTATION GAPS. Emits TWO artefacts: lineage/{repo}/implicit-adrs.md (real ADR candidates only — backbone decisions, classified as promote / extend-existing / drift / unique-load-bearing) AND lineage/{repo}/refactoring-scopes.md (gap-shaped findings — absent features, missing validation, buggy defaults — actionable as DOC-NNN / TEST-NNN / SEC-NNN / PERF-NNN backlog items, NOT as ADRs).

Gsd:ingest Docs

Scan a repo for mixed ADRs, PRDs, SPECs, and DOCs and bootstrap or merge the full .planning/ setup from them. Classifies each doc in parallel, synthesizes a consolidated context with a conflicts report, and routes to new-project or merge-milestone depending on whether .planning/ already exists.

Log Issue

Draft an upstream-repo GitHub issue on disk. Creates the next ISS file under issues/{repo}/ with paste-ready frontmatter + body skeleton. The actual filing into GitHub is a deliberate human action — this skill never opens a real issue.

Next Batch

Autonomous batch driver for the rev-2 agentic-ontology sprint. Picks the next pending theme from state/sprint-themes.yaml, spawns 5 file-analyser subagents in parallel, then 5 reducers in parallel, merges deltas, refreshes coverage, appends the investigator-log entry, commits, pushes to remote, marks the theme done. Designed to be fired by /loop overnight without maintainer input.

Probe Define

Generate probe-skeleton YAML files at lineage/{repo}/probes/{P-NNN}.yaml from feature-flows.yaml's uncovered test-matrix cells. Each skeleton carries the featureid + testclass + cross-references + a TODO-marked arrange/act/observe/assert block the maintainer fills in. Accelerates probe corpus growth — slice 4 of dynamic-verification ADR. Local-only per APPROACH.md section 5 rule 12.

Probe Run

Run one or more dynamic-verification probes against a local ephemeral docker-compose mirror of the target system. Captures observation traces as committed artefacts at lineage/{repo}/probe-runs/{date}-{probeid}.yaml and merges measured values back into feature-flows.yaml, test-map.yaml, and per-sidecar confidenceperfield annotations. Local-only execution per APPROACH.md section 5 rule 12 + section 9 — no remote infrastructure ever. Slice 2 of adrs/drafts/dynamic-verification-layer.md.

Reflect Feature

Run the feature-reflector subagent (Layer 4b — top-down product-owner reflection) over one composed feature flow. Produces lineage/{repo}/feature-reflections/detail/{F-NNN}.yaml with a stepped-back product-owner narrative + 5-15 falsifiable user-facing hypotheses + per-hypothesis verdicts (confirmed / contradicted / partial / probe-needed) traced through the implementation chain. Contradictions are surfaced as bug-candidate / caveat-candidate findings — cross-file intent-vs-implementation drifts no single sidecar can see in isolation. Per APPROACH.md section 15 + rev-5 LSN-020 case-law.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Align skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: Apache-2.0. The author’s terms apply.
Product & Design Skills | Agent Skills Atlas