antropos17/aegis/prompt-craft
Claude Code and agent skill by antropos17/aegis
- community
Checking that the SKILL.md file is still in the repository.
Write or revise an AEGIS task prompt when the user asks for a prompt, using current source, design context and session authorization.
Install
npx vskill@latest install antropos17/aegis/prompt-craftSKILL.md
Write an AEGIS task prompt
State the requested result, relevant observed files and behavior, and validation needed to assess completion. Make the prompt self-contained, while leaving routine implementation decisions flexible. A prompt-writing request asks for a prompt; do not execute it, create a separate task or invoke another agent unless requested.
Write technical prompts and agent briefs in English even when the owner's chat request is in Russian. For authorized delegation, require English analysis, working notes, messages and returned evidence; preserve literal source strings. Name owned paths and tell workers to preserve concurrent contributors' changes. For ongoing product work, select the next unfinished consumer in completion-plan section 7. Reuse its evidence and state the changed-input check; do not insert another general audit, roadmap rewrite or optional approval before implementation.
Read AGENTS.md and verify the actual checkout before naming paths. Vite determines the renderer root; frontend/observatory/ is not present in every checkout. Existing implementation is evidence to inspect, not a reason to claim a reported bug is already fixed without verifying the behavior.
For UI integration, use the applicable approved design and design-system guidance. For a new visual exploration, preserve the user's freedom to explore alternatives and distinguish concept delivery from integration.
For monitoring/backend changes, include only relevant identity, outage, platform and measurement invariants. Consult the applicable failure history in memory-bank/ai-mistakes.md when needed.
Describe checks for the behavior being changed, using package.json and docs/development/workflow.md. Use project-aware typecheck commands rather than bare tsc against the solution. Rendered checks apply to UI implementation; prototype-only work needs artifact review. Do not require an unavailable MCP, external AI CLI or subagent.
Carry forward the session's authorization for reversible changes and the Git cycle where relevant. For tracked source work use an appropriate codex/ feature branch/worktree without disturbing dirty parallel work. Do not add routine plan/push approval questions, arbitrary limits on steps/files, a mandatory prompt formula, or automatic recurring monitoring. Preserve explicit boundaries for releases and protected files from AGENTS.md.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingtools/agent-skills/prompt-craft/SKILL.md
Popularity
- Repository stars
- 157
- Repository forks
- 24
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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