archive-answer
Capture a query answer and file it as a persistent artifact in .aiwg/working/answers/ with promotion guidance to a permanent destination.
Best use case
archive-answer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
It is a strong fit for teams already working in Codex.
Capture a query answer and file it as a persistent artifact in .aiwg/working/answers/ with promotion guidance to a permanent destination.
Teams using archive-answer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/archive-answer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How archive-answer Compares
| Feature / Agent | archive-answer | Standard Approach |
|---|---|---|
| Platform Support | Codex | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Capture a query answer and file it as a persistent artifact in .aiwg/working/answers/ with promotion guidance to a permanent destination.
Which AI agents support this skill?
This skill is designed for Codex.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# archive-answer Capture a query result or substantive chat answer and persist it as a structured artifact so it survives beyond the current session. ## Triggers - "save this answer" → archive current response - "persist that result" → write answer to working directory - "archive this" → file as artifact with frontmatter - "keep this for later" → save with promotion suggestion - `--archive-answer` flag on `artifact-lookup` → automatic post-query archival ## Parameters ### `<title>` (required) A short, descriptive title for the archived answer. Used as the filename slug and the `title` field in frontmatter. ### `--content <text>` (optional) The answer body to persist. If omitted, the skill uses the most recent substantive assistant response in the current conversation. ### `--source-query <query>` (optional) The query or question that produced this answer. Stored in frontmatter for traceability. ### `--tags <tag,...>` (optional) Comma-separated tags for the artifact. The skill also infers tags from content type (e.g., `architecture`, `security`, `requirements`). ### `--dest <path>` (optional) Override the suggested permanent destination. If omitted, the skill infers the destination from content type (see Destination Routing below). ## Behavior ### 1. Write to Working Directory Create a markdown file at `.aiwg/working/answers/<slug>.md`: ``` .aiwg/working/answers/ └── <slug>.md ``` The slug is the title lowercased with spaces replaced by hyphens and non-alphanumeric characters stripped (e.g., "Auth flow analysis" → `auth-flow-analysis.md`). ### 2. Frontmatter Format ```yaml --- title: "<title>" date: "<YYYY-MM-DD>" source-query: "<original query or empty>" tags: [<inferred and explicit tags>] status: working promoted-to: ~ --- ``` ### 3. Destination Routing After writing, suggest a permanent destination based on content signals: | Content signals | Suggested destination | |-----------------|----------------------| | architecture, SAD, ADR, design | `.aiwg/architecture/` | | security, threat, vulnerability, CVE | `.aiwg/security/` | | test, coverage, regression, QA | `.aiwg/testing/` | | risk, mitigation, impact | `.aiwg/risks/` | | requirement, use case, story | `.aiwg/requirements/` | | deployment, runbook, ops | `.aiwg/deployment/` | | report, summary, metrics | `.aiwg/reports/` | | (no strong signal) | `.aiwg/reports/` | Tell the user: "Archived to `.aiwg/working/answers/<slug>.md`. When ready to promote, move it to `<suggested-dest>` and update `status: promoted` and `promoted-to: <final-path>`." ### 4. Index Refresh After writing, note that the artifact will be picked up on the next index build: ```bash aiwg index build ``` The `build-artifact-index` skill scans `.aiwg/working/answers/` and includes these files in the project graph. ## Output Example ``` Archived: .aiwg/working/answers/auth-flow-analysis.md Frontmatter: title: Auth flow analysis date: 2026-04-12 source-query: "how does the current auth flow handle token refresh?" tags: [architecture, security, auth] status: working Suggested destination: .aiwg/architecture/ When promoted, run: aiwg index build ``` ## Integration - **artifact-lookup** calls this skill when `--archive-answer` is passed or when it detects a substantive multi-paragraph result. - **workspace-prune-working** (when available) lists `.aiwg/working/answers/` entries and offers to promote or discard them during working-directory cleanup. - **build-artifact-index** includes `.aiwg/working/answers/` in the project graph index automatically. ## References - @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/skills/artifact-lookup/SKILL.md — Query skill that triggers archival - @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/skills/build-artifact-index/SKILL.md — Index skill that picks up archived answers
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