skill-perfection
Use this skill when you need to QA audit and fix a plugin skill file.
Skill by OmidZamani
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/omidzamani-skill-perfection
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: testing, security, writing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/skill-perfection
What's inside
- Skill name
skill-perfection- Description
- Use this skill when you need to QA audit and fix a plugin skill file. Provides a methodology for verifying skill content against official documentation, fixing issues in-place, and producing verification reports.
- License
- MIT
- Instructions
- 210 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- name: "skill-perfection" does not match folder "skills-skill-perfection"
Files (2)
- SKILL.md
- preflight.py · scripts/
SKILL.md (first lines)
# Skill Perfection
A systematic process for auditing and fixing plugin skills in a single pass.
## Core Principle
**Audit + Fix in One Pass**: When you find an issue, fix it immediately, then continue. This eliminates redundant research and multiple iterations.
## Process Overview
```
[Optional Preflight] → Audit+Fix (single pass) → Verify (spot-check) → Report
```
## Phase 1: Preflight (Optional, Advisory)
A Python-based preflight script is bundled for **Python-heavy skills only**.
### When to Use Preflight
| Skill Content | Use Preflight? |
|---------------|----------------|
| Mostly Python code blocks | ✅ Yes |
| Mixed Python + other languages | ⚠️ Optional (Python blocks only) |
| Non-Python (JS, Rust, Go, etc.) | ❌ Skip, go to Phase 2 |
| Skill about the preflight script itself | ❌ Skip (conflict of interest) |
### Running Preflight
```bash
uv run python ${SKILL_DIR}/scripts/preflight.py <path-to-skill.md> --no-urls
```
### Interpreting Results
| Result | Action |
|--------|--------|
| `✅ PASSED` | Good signal. Proceed to Phase 2, trust syntax is valid. |
| `❌ FAILED` with clear errors (syntax error at line X) | Fix those specific issues, then proceed to Phase 2. |
| `❌ FAILED` with confusing/many errors | **Ignore preflight entirely.** Proceed to Phase 2, let LLM verify. |
| Script crashes or hangs | **Ignore preflight entirely.** Proceed to Phase 2. |
### Key Rule: Preflight is Advisory
**The preflight script is a helper, not a gatekeeper.** If it produces confusing output, skip it. The LLM-based Phase 2 is always authoritative.
Signs to ignore preflight:
- More than 10 errors on a skill that "looks fine"
- Errors that don't make sense (line numbers don't match)
- Python tracebacks from the script itself
- Timeouts or hanging
**When in doubt, skip preflight and let the LLM verify everything.**
## Phase 2: Audit + Fix (Single Pass) - THE CORE
This is the main phase. Work through the skill file section by section.
### 2.1 Identify the Technology
From the skill's content, identify:
- Primary technology/framework (e.g., LangGraph, React, Axum, Go-kit)
- Version constraints if mentioned
- Official documentation domain
### 2.2 Research Strategy
**Batch similar lookups** to minimize web calls:
```
Example: For a skill with 10 import statements from the same package,
do ONE search that covers them all, not 10 separate searches.
```
**Documentation priority**:
1. Official docs (use `site:` filter)
2. Official GitHub repo (examples, tests, README)
3. Package registry (PyPI, npm, crates.io, pkg.go.dev)
4. Official blog/changelog
### 2.3 For Each Verifiable Item
| Item Type | What to Verify |
|-----------|---------------|
| Import/require statement | Package exists, path is current, not deprecated |
| API call | Signature matches official docs, parameters correct |
| Code example | Would execute, complete imports, correct syntax |
| URL/link | Accessible (WebFetch), points to claimed content |
| Version claim | Current/accurate |
| Best practice claim | Aligned with official recommendations |
### 2.4 Fix-As-You-Go
When you find an issue:
1. **STOP** auditing that section
2. **FIX** the issue immediately (Edit tool)
3. **LOG** the change in memory: `{location, old, new, reason, source_url}`
4. **CONTINUE** auditing
**All severities get fixed in one pass** - don't defer anything.
### 2.5 Syntax Verification (LLM-based)
For code blocks, verify syntax by reading carefully:
**Python**: Check for matching parentheses, correct indentation, valid syntax
**JavaScript/TypeScript**: Check for matching braces, valid syntax, correct imports
**Rust**: Check for matching braces, semicolons, valid syntax
**Go**: Check for matching braces, correct package structure
**Any language**: Apply your knowledge of that language's syntax rules
If unsure about syntax validity, note it but don't block on it - focus on semantic correctness against official docs.
## Phase 3: Verification (Spot-Check)
After completing Phase 2:
1. **Re-read the modified skill file**From OmidZamani/dspy-skills, MIT.
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dspy-advanced-module-composition
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Use for composing DSPy modules with Ensemble, MultiChainComparison, ensemble voting, sequential pipelines, and multi-program workflows.
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dspy-evaluation-suite
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Use for evaluating DSPy programs with Evaluate, answer_exact_match, SemanticF1, custom metrics, baselines, and program comparisons.
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-rag-pipeline
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Use for RAG pipelines, retrieval augmented generation, ColBERTv2, context retrieval, multi-hop RAG, and grounded DSPy answers.
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-signature-designer
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Use for DSPy signatures, InputField, OutputField, typed inputs and outputs, signature classes, and Pydantic-style structured schemas.
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-simba-optimizer
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Use for SIMBA optimization, mini-batch introspective optimization, self-reflective rules, stochastic ascent, and numeric-metric optimization.
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dspy-reasoning-modules
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Use for DSPy reasoning modules including RLM, ProgramOfThought, CodeAct, Parallel, sandboxed execution, and long-context workflows.
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-adapters-multimodal
OmidZamani
Use for DSPy adapter selection, JSONAdapter, XMLAdapter, ChatAdapter, native function calling, structured outputs, and multimodal inputs like dspy.Image or…
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-custom-module-design
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Use for creating custom DSPy modules, extending dspy.Module, reusable components, stateful modules, serialization, and module testing.
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-debugging-observability
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Use for debugging DSPy programs, inspect_history, tracing LLM calls, custom callbacks, observability, monitoring, and cost tracking.
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-embedding-retrieval
OmidZamani
Use for DSPy retrieval with dspy.Embedder, dspy.Embeddings, FAISS indexes, semantic search, and local or hosted embedding models.
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-finetune-bootstrap
OmidZamani
Use for BootstrapFinetune, fine-tuning DSPy models, teacher-student distillation, weight optimization, and lower-cost deployment.
SkillCFreshness: C★ 124Claude Code +9
Signals
- Stars
- 124
- Forks
- 13
- Open issues
- 1
- Last commit (this folder)
- Jan 20, 2026 (9 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/OmidZamani/dspy-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from OmidZamani
- 0.674score
dspy-haystack-integration
OmidZamani
Use for integrating DSPy with Haystack, optimizing Haystack prompts, improving retrieval pipelines, and extracting DSPy prompts.
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-adapters-multimodal
OmidZamani
Use for DSPy adapter selection, JSONAdapter, XMLAdapter, ChatAdapter, native function calling, structured outputs, and multimodal inputs like dspy.Image or…
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-advanced-module-composition
OmidZamani
Use for composing DSPy modules with Ensemble, MultiChainComparison, ensemble voting, sequential pipelines, and multi-program workflows.
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-custom-module-design
OmidZamani
Use for creating custom DSPy modules, extending dspy.Module, reusable components, stateful modules, serialization, and module testing.
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-debugging-observability
OmidZamani
Use for debugging DSPy programs, inspect_history, tracing LLM calls, custom callbacks, observability, monitoring, and cost tracking.
SkillCFreshness: C★ 124Claude Code +9 - 0.668score
dspy-embedding-retrieval
OmidZamani
Use for DSPy retrieval with dspy.Embedder, dspy.Embeddings, FAISS indexes, semantic search, and local or hosted embedding models.
SkillCFreshness: C★ 124Claude Code +9
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Cite this page
skill-perfection. Agent Mart. https://agentmart.dev/skills/omidzamani-skill-perfection (last updated 2026-10-24)