agentic/code/frameworks/sdlc-complete/skills/archive-answer/SKILL.md
Capture a query answer and file it as a persistent artifact in .aiwg/working/answers/ with promotion guidance to a permanent destination.
npx skillsauth add jmagly/aiwg archive-answerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Capture a query result or substantive chat answer and persist it as a structured artifact so it survives beyond the current session.
--archive-answer flag on artifact-lookup → automatic post-query archival<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).
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).
---
title: "<title>"
date: "<YYYY-MM-DD>"
source-query: "<original query or empty>"
tags: [<inferred and explicit tags>]
status: working
promoted-to: ~
---
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>."
After writing, note that the artifact will be picked up on the next index build:
aiwg index build
The build-artifact-index skill scans .aiwg/working/answers/ and includes these files in the project graph.
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
--archive-answer is passed or when it detects a substantive multi-paragraph result..aiwg/working/answers/ entries and offers to promote or discard them during working-directory cleanup..aiwg/working/answers/ in the project graph index automatically.data-ai
Report which research-corpus radar sidecars are overdue for refresh. Computes staleness (days since last refresh vs the cadence window) for every radar, sorted most-overdue-first. Runs via `aiwg corpus radar-status`.
data-ai
Aggregate research-corpus radar sidecars into a corpus or per-cluster freshness report — totals, overdue count, per-cluster / per-GRADE / per-trajectory breakdowns, an overdue table, and per-radar rationale snippets. Runs via `aiwg corpus radar-report`.
testing
Scaffold radar/freshness sidecars for research-corpus REFs. Pulls title/authors from the citation sidecar and GRADE from the analysis doc, defaults the refresh cadence from GRADE and the cluster from a corpus-local map, and stamps documentation/radar/REF-XXX-radar.md. Runs via `aiwg corpus radar-init`.
data-ai
Compute an entity's publication trajectory — per-year paper counts, topic drift, hot-streak detection (≥3 consecutive A-grade years), and career phase. Runs via `aiwg corpus profile-temporal`.