hoangnb24/prompt-leverage
plugins/khuym/skills/prompt-leverage/SKILL.md
Strengthen a raw user prompt into an execution-ready instruction set for Codex or another AI agent. Use when the user wants to improve an existing prompt, build a reusable prompting framework, wrap the current request with better structure, add clearer tool rules, or create a hook that upgrades prompts before execution.
$ install --global
skillsauthnpx skillsauth add hoangnb24/skills prompt-leverageInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 3, 2026, 3:16 AM55.2s5 files scanned
SKILL.md
- name:
- prompt-leverage
- description:
- Strengthen a raw user prompt into an execution-ready instruction set for Codex or another AI agent. Use when the user wants to improve an existing prompt, build a reusable prompting framework, wrap the current request with better structure, add clearer tool rules, or create a hook that upgrades prompts before execution.
- dependencies:
- []
Prompt Leverage
If .khuym/onboarding.json is missing or stale for the current repo, stop and invoke khuym:using-khuym before continuing.
Turn the user's current prompt into a stronger working prompt without changing the underlying intent. Preserve the task, fill in missing execution structure, and add only enough scaffolding to improve reliability.
Workflow
- Read the raw prompt and identify the real job to be done.
- Infer the task type: coding, research, writing, analysis, planning, or review.
- Rebuild the prompt with the framework blocks in
references/framework.md. - Keep the result proportional: do not over-specify a simple task.
- Return both the improved prompt and a short explanation of what changed when useful.
Transformation Rules
- Preserve the user's objective, constraints, and tone unless they conflict.
- Prefer adding missing structure over rewriting everything stylistically.
- Add context requirements only when they improve correctness.
- Add tool rules only when tool use materially affects correctness.
- Add verification and completion criteria for non-trivial tasks.
- Keep prompts compact enough to be practical in repeated use.
Framework Blocks
Use these blocks selectively.
Objective: state the task and what success looks like.Context: list sources, files, constraints, and unknowns.Work Style: set depth, breadth, care, and first-principles expectations.Tool Rules: state when tools, browsing, or file inspection are required.Output Contract: define structure, formatting, and level of detail.Verification: require checks for correctness, edge cases, and better alternatives.Done Criteria: define when the agent should stop.
Output Modes
Choose one mode based on the user request.
Inline upgrade: provide the upgraded prompt only.Upgrade + rationale: provide the prompt plus a brief list of improvements.Template extraction: convert the prompt into a reusable fill-in-the-blank template.Hook spec: explain how to apply the framework automatically before execution.
Hook Pattern
When the user asks for a hook, model it as a pre-processing layer:
- Accept the current prompt.
- Classify the task and risk level.
- Expand the prompt using the framework blocks.
- Return the upgraded prompt for execution.
- Optionally keep a diff or summary of injected structure.
Use scripts/augment_prompt.py when a deterministic first-pass rewrite is helpful.
Quality Bar
Before finalizing, check the upgraded prompt:
- still matches the original intent
- does not add unnecessary ceremony
- includes the right verification level for the task
- gives the agent a clear definition of done
If the prompt is already strong, say so and make only minimal edits.
Related Skills
hoangnb24/smart-commits
tools
VerifiedTrustedCommunity
Use when the user asks to commit everything, smart commit, group commits, organize staged or unstaged changes, create logical commits, push current work, or preserve a clean commit stack from an existing working tree.
215SKILL.mdUpdated May 21, 2026
hoangnb24/using-khuym
development
VerifiedTrustedCommunity
Use when starting or resuming any Khuym project session, choosing the next Khuym skill, running go mode, checking onboarding/scout state, or enforcing workflow gates. Bootstrap meta-skill for routing across the Khuym agentic development ecosystem.
215SKILL.mdUpdated Apr 18, 2026
hoangnb24/goal-griller
development
VerifiedTrustedCommunity
Use when the user wants to turn a rough idea, vague task, feature wish, bug-fix intent, or Codex /goal objective into a clear verifiable goal prompt. Use when the user mentions goal mode, /goal, set_goal, long-running autonomous Codex work, or asks to be interviewed/grilled before creating a goal.
213SKILL.mdUpdated May 19, 2026
hoangnb24/concept-game-builder
tools
VerifiedTrustedCommunity
Use when Codex should turn a concept, topic, tutorial, lesson, algorithm, system, workflow, or abstract idea into a playable browser game that teaches through interaction. Use for planning or implementing educational web games with the Game Studio plugin, including concept-to-mechanic translation, gameplay loop design, learning progression, and browser-game QA.
213SKILL.mdUpdated May 19, 2026