/public-technology-review
Build a vendor-neutral, source-linked public-technology procurement evidence and risk review without autonomous scoring or award recommendations.
Claude Code
$ npx -y skills add jmagly/aiwg --skill public-technology-review --agent claude-code
Codex
$ npx skills add jmagly/aiwg --skill public-technology-review -a codex -y
Cursor
$ npx skills add jmagly/aiwg --skill public-technology-review -a cursor -y
Gemini CLI
$ npx skills add jmagly/aiwg --skill public-technology-review -a gemini-cli -y
GitHub Copilot
$ npx skills add jmagly/aiwg --skill public-technology-review -a github-copilot -y
OpenCode
$ npx skills add jmagly/aiwg --skill public-technology-review -a opencode -y
Windsurf
$ npx skills add jmagly/aiwg --skill public-technology-review -a windsurf -y
SKILL.md
public-technology-review.SKILL.mdnamespace: aiwg
platforms: [all]
name: public-technology-review
description: Build a vendor-neutral, source-linked public-technology procurement evidence and risk review without autonomous scoring or award recommendations.
triggers:
- review a public technology procurement
- compare civic technology contract evidence
- assess public sector vendor lock in and lifecycle risk
Public Technology Review
Process
1. Select and cite the governing procurement profile; FAR/NIST are reference models unless adopted by that jurisdiction. 2. Inventory need, planning, market research, solicitation, selection, award, administration, oversight, and public-release records. 3. Separate protected proposals/source-selection material from public releases. 4. Record claims and evidence without sentiment scores. Risk ratings require a human-defined scale, rationale, uncertainty, owner, and verification method. 5. Do not infer corruption, rank vendors, or recommend an award autonomously. 6. Record explicit handoff states for missing records, meeting/vote analysis, and any publication packet; protected material never enters a public handoff.
Output
A schema-valid evidence/risk review and human decision questions.
References
- `schemas/public-technology-review.schema.json`
- `templates/public-technology-review.md`
- `docs/research/civic-workflow-standards.md`
- `docs/research/control-source-matrix.md`
Read more
namespace: aiwg platforms: [all] name: public-technology-review description: Build a vendor-neutral, source-linked public-technology procurement evidence and risk review without autonomous scoring or award recommendations. triggers: - review a public technology procurement - compare civic technology contract evidence - assess public sector vendor lock in and lifecycle risk
Public Technology Review
Process
1. Select and cite the governing procurement profile; FAR/NIST are reference models unless adopted by that jurisdiction. 2. Inventory need, planning, market research, solicitation, selection, award, administration, oversight, and public-release records. 3. Separate protected proposals/source-selection material from public releases. 4. Record claims and evidence without sentiment scores. Risk ratings require a human-defined scale, rationale, uncertainty, owner, and verification method. 5. Do not infer corruption, rank vendors, or recommend an award autonomously. 6. Record explicit handoff states for missing records, meeting/vote analysis, and any publication packet; protected material never enters a public handoff.
Output
A schema-valid evidence/risk review and human decision questions.
References
- `schemas/public-technology-review.schema.json`
- `templates/public-technology-review.md`
- `docs/research/civic-workflow-standards.md`
- `docs/research/control-source-matrix.md`
Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.
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brainstorming
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ask-matt
Ask which skill or flow fits your situation. A router over the skills in this repo.
Questions about public-technology-review.
- Which coding agents can use public-technology-review?
- public-technology-review installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

