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40 changes: 32 additions & 8 deletions skills/documentation/agent-memory/SKILL.md
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---
id: agent-memory
name: Agent Memory
description: Step-by-step guidance for agent memory.
description: Structure agent memory docs so context stays discoverable, bounded, and maintainable without implying hidden system state.
category: Documentation
requires: []
examples:
- "Design agent memory docs so important context stays discoverable and appropriately scoped."
- "Review agent memory docs for taxonomy gaps, retrieval friction, and freshness risk."
---

# Agent Memory

Support agent memory workflows with clear steps and best practices.
Use this skill when the user needs agent memory docs organized so important context can be captured, found, and updated without implying hidden memory or invisible indexed state.

## When to Use
## Start By Clarifying
- What information deserves durable capture versus short-lived discussion.
- How readers should locate the right context later.
- Which taxonomy, tags, or summary conventions will keep retrieval manageable.
- What freshness signals or ownership rules prevent silent decay.
- Where the boundaries are between documented knowledge and inferred context.

- You need help with agent memory.
- You want a clear, actionable next step.
## Workflow
1. Define the knowledge objects, categories, and retrieval paths readers will use.
2. Choose a structure for summaries, tags, links, and source references.
3. Document what should be captured, what should be omitted, and how updates happen.
4. Add examples of good entries, summaries, or indexing conventions.
5. Review for taxonomy sprawl, stale knowledge, and unclear source-of-truth rules.

## Output
## Good Output
- Knowledge structure or taxonomy recommendation.
- Rules for summaries, tags, references, and freshness.
- Ambiguities where context capture could become misleading or too broad.
- Maintenance guidance so the knowledge system stays usable.

- Summary of goals and plan
- Key tips and precautions
## Common Pitfalls
- Documenting everything and creating an unsearchable memory dump.
- Using vague labels that do not help future retrieval.
- Failing to separate verified facts from interpretation or working notes.
- Implying persistent memory or indexing capabilities that are not actually present.

## Boundaries
- Do not imply undocumented retrieval or memory systems exist.
- Prefer explicit taxonomy and source references over invisible context magic.
40 changes: 32 additions & 8 deletions skills/documentation/ai-context/SKILL.md
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---
id: ai-context
name: AI Context
description: Step-by-step guidance for AI context.
description: Structure AI context docs so context stays discoverable, bounded, and maintainable without implying hidden system state.
category: Documentation
requires: []
examples:
- "Design AI context docs so important context stays discoverable and appropriately scoped."
- "Review AI context docs for taxonomy gaps, retrieval friction, and freshness risk."
---

# AI Context

Support ai context workflows with clear steps and best practices.
Use this skill when the user needs AI context docs organized so important context can be captured, found, and updated without implying hidden memory or invisible indexed state.

## When to Use
## Start By Clarifying
- What information deserves durable capture versus short-lived discussion.
- How readers should locate the right context later.
- Which taxonomy, tags, or summary conventions will keep retrieval manageable.
- What freshness signals or ownership rules prevent silent decay.
- Where the boundaries are between documented knowledge and inferred context.

- You need help with ai context.
- You want a clear, actionable next step.
## Workflow
1. Define the knowledge objects, categories, and retrieval paths readers will use.
2. Choose a structure for summaries, tags, links, and source references.
3. Document what should be captured, what should be omitted, and how updates happen.
4. Add examples of good entries, summaries, or indexing conventions.
5. Review for taxonomy sprawl, stale knowledge, and unclear source-of-truth rules.

## Output
## Good Output
- Knowledge structure or taxonomy recommendation.
- Rules for summaries, tags, references, and freshness.
- Ambiguities where context capture could become misleading or too broad.
- Maintenance guidance so the knowledge system stays usable.

- Summary of goals and plan
- Key tips and precautions
## Common Pitfalls
- Documenting everything and creating an unsearchable memory dump.
- Using vague labels that do not help future retrieval.
- Failing to separate verified facts from interpretation or working notes.
- Implying persistent memory or indexing capabilities that are not actually present.

## Boundaries
- Do not imply undocumented retrieval or memory systems exist.
- Prefer explicit taxonomy and source references over invisible context magic.
40 changes: 32 additions & 8 deletions skills/documentation/api-design/SKILL.md
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---
id: api-design
name: API Design
description: Step-by-step guidance for API design.
description: Document API design docs with clear responsibilities, decision points, sequencing, and follow-through expectations.
category: Documentation
requires: []
examples:
- "Document API design docs so contributors know the flow, roles, and exit criteria."
- "Turn this loose workflow into API design docs with checkpoints, ownership, and review gates."
---

# API Design

Support api design workflows with clear steps and best practices.
Use this skill when the user needs API design docs that turn an informal workflow into something reviewable, teachable, and easier to execute consistently.

## When to Use
## Start By Clarifying
- Who participates in the process and where responsibilities change hands.
- What the entry criteria, checkpoints, and exit criteria should be.
- Which decisions require sign-off, escalation, or documented rationale.
- What artifacts, links, or evidence should exist at each stage.
- How the process should stay lightweight enough to be followed in practice.

- You need help with api design.
- You want a clear, actionable next step.
## Workflow
1. Define the objective of the process and the scenarios it is meant to cover.
2. Map the stages, decision points, owners, and required artifacts.
3. Make review gates, success criteria, and escalation rules explicit.
4. Add examples, templates, or checklists where teams commonly drift.
5. Document how the process is maintained when the system or team changes.

## Output
## Good Output
- Process outline with roles, sequence, and decision gates.
- Required artifacts, examples, or checklists.
- Open questions or edge cases that need policy rather than improvisation.
- Maintenance notes so the process stays current.

- Summary of goals and plan
- Key tips and precautions
## Common Pitfalls
- Describing the ideal path but omitting ownership and exception handling.
- Adding heavy ceremony without clear value or decision support.
- Failing to show what done looks like at each stage.
- Letting the process drift from how teams actually work.

## Boundaries
- Do not confuse process guidance with proof that the process is already being followed.
- Prefer concrete responsibilities and exit criteria over vague workflow prose.
40 changes: 32 additions & 8 deletions skills/documentation/api-documentation-generator/SKILL.md
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---
id: api-documentation-generator
name: API Documentation Generator
description: Step-by-step guidance for API documentation.
description: Create and maintain API reference docs with accurate contracts, examples, edge cases, and version-aware detail.
category: Documentation
requires: []
examples:
- "Create API reference docs with examples, constraints, and edge-case coverage."
- "Review API reference docs for gaps in contracts, parameters, compatibility notes, or failure cases."
---

# API Documentation Generator

Support api documentation workflows with clear steps and best practices.
Use this skill when the user needs API reference docs that readers can trust as a durable lookup source rather than a vague narrative summary.

## When to Use
## Start By Clarifying
- What entities, endpoints, fields, functions, or concepts are actually in scope.
- Which versions, compatibility boundaries, or deprecations matter.
- What inputs, outputs, defaults, and error cases readers most often misunderstand.
- Which examples are necessary to make the reference usable, not just complete.
- What surrounding guide material should be linked rather than duplicated.

- You need help with api documentation generator.
- You want a clear, actionable next step.
## Workflow
1. Define the reference surface and group it into durable reader-facing sections.
2. Document contracts, required fields, defaults, side effects, and failure modes explicitly.
3. Add examples that show normal use, edge cases, and compatibility caveats.
4. Call out version boundaries, deprecations, and non-obvious constraints.
5. Review for omissions that would force readers back into code or guesswork.

## Output
## Good Output
- Reference structure by resource, concept, or API surface.
- Missing contract details, examples, or compatibility notes.
- Places where defaults, limits, or failure behavior need stronger explanation.
- Cross-links needed to connect reference material to task-oriented guides.

- Summary of goals and plan
- Key tips and precautions
## Common Pitfalls
- Documenting names without documenting behavior or constraints.
- Skipping error cases because the happy path feels sufficient.
- Hiding version-specific caveats until readers hit production issues.
- Letting the reference drift from actual source behavior.

## Boundaries
- Do not imply undocumented behavior is guaranteed.
- Prefer precise contracts and examples over broad marketing-style wording.
40 changes: 32 additions & 8 deletions skills/documentation/architecture-decision-records/SKILL.md
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---
id: architecture-decision-records
name: Architecture Decision Records
description: Step-by-step guidance for architecture decision records.
description: Document architecture decision records with clear responsibilities, decision points, sequencing, and follow-through expectations.
category: Documentation
requires: []
examples:
- "Document architecture decision records so contributors know the flow, roles, and exit criteria."
- "Turn this loose workflow into architecture decision records with checkpoints, ownership, and review gates."
---

# Architecture Decision Records

Support architecture decision records workflows with clear steps and best practices.
Use this skill when the user needs architecture decision records that turn an informal workflow into something reviewable, teachable, and easier to execute consistently.

## When to Use
## Start By Clarifying
- Who participates in the process and where responsibilities change hands.
- What the entry criteria, checkpoints, and exit criteria should be.
- Which decisions require sign-off, escalation, or documented rationale.
- What artifacts, links, or evidence should exist at each stage.
- How the process should stay lightweight enough to be followed in practice.

- You need help with architecture decision records.
- You want a clear, actionable next step.
## Workflow
1. Define the objective of the process and the scenarios it is meant to cover.
2. Map the stages, decision points, owners, and required artifacts.
3. Make review gates, success criteria, and escalation rules explicit.
4. Add examples, templates, or checklists where teams commonly drift.
5. Document how the process is maintained when the system or team changes.

## Output
## Good Output
- Process outline with roles, sequence, and decision gates.
- Required artifacts, examples, or checklists.
- Open questions or edge cases that need policy rather than improvisation.
- Maintenance notes so the process stays current.

- Summary of goals and plan
- Key tips and precautions
## Common Pitfalls
- Describing the ideal path but omitting ownership and exception handling.
- Adding heavy ceremony without clear value or decision support.
- Failing to show what done looks like at each stage.
- Letting the process drift from how teams actually work.

## Boundaries
- Do not confuse process guidance with proof that the process is already being followed.
- Prefer concrete responsibilities and exit criteria over vague workflow prose.
42 changes: 33 additions & 9 deletions skills/documentation/backend-to-frontend-handoff-docs/SKILL.md
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---
id: backend-to-frontend-handoff-docs
name: Backend-to-Frontend Handoff Docs
description: Step-by-step guidance for backend-to-frontend handoff docs.
description: Document backend-to-frontend handoff docs with clear responsibilities, decision points, sequencing, and follow-through expectations.
category: Documentation
requires: []
examples:
- "Document backend-to-frontend handoff docs so contributors know the flow, roles, and exit criteria."
- "Turn this loose workflow into backend-to-frontend handoff docs with checkpoints, ownership, and review gates."
---

# Backend To Frontend Handoff Docs
# Backend-to-Frontend Handoff Docs

Support backend to frontend handoff docs workflows with clear steps and best practices.
Use this skill when the user needs backend-to-frontend handoff docs that turn an informal workflow into something reviewable, teachable, and easier to execute consistently.

## When to Use
## Start By Clarifying
- Who participates in the process and where responsibilities change hands.
- What the entry criteria, checkpoints, and exit criteria should be.
- Which decisions require sign-off, escalation, or documented rationale.
- What artifacts, links, or evidence should exist at each stage.
- How the process should stay lightweight enough to be followed in practice.

- You need help with backend to frontend handoff docs.
- You want a clear, actionable next step.
## Workflow
1. Define the objective of the process and the scenarios it is meant to cover.
2. Map the stages, decision points, owners, and required artifacts.
3. Make review gates, success criteria, and escalation rules explicit.
4. Add examples, templates, or checklists where teams commonly drift.
5. Document how the process is maintained when the system or team changes.

## Output
## Good Output
- Process outline with roles, sequence, and decision gates.
- Required artifacts, examples, or checklists.
- Open questions or edge cases that need policy rather than improvisation.
- Maintenance notes so the process stays current.

- Summary of goals and plan
- Key tips and precautions
## Common Pitfalls
- Describing the ideal path but omitting ownership and exception handling.
- Adding heavy ceremony without clear value or decision support.
- Failing to show what done looks like at each stage.
- Letting the process drift from how teams actually work.

## Boundaries
- Do not confuse process guidance with proof that the process is already being followed.
- Prefer concrete responsibilities and exit criteria over vague workflow prose.
20 changes: 0 additions & 20 deletions skills/documentation/cc-skill-project-guidelines-example/SKILL.md

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20 changes: 0 additions & 20 deletions skills/documentation/claude-code-guide/SKILL.md

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20 changes: 0 additions & 20 deletions skills/documentation/code-documentation-code-explain/SKILL.md

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