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improvement-pipeline
Coordinate sequential improvement stages (analyze → propose → build → validate) with Prompt Architect clarity and Skill Forge guardrails.
allowed_tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite
model: claude-3-5-sonnet
$ Installieren
git clone https://github.com/DNYoussef/context-cascade /tmp/context-cascade && cp -r /tmp/context-cascade/skills/tooling/improvement-pipeline ~/.claude/skills/context-cascade// tip: Run this command in your terminal to install the skill
SKILL.md
name: improvement-pipeline description: Coordinate sequential improvement stages (analyze → propose → build → validate) with Prompt Architect clarity and Skill Forge guardrails. allowed-tools:
- Read
- Write
- Edit
- Bash
- Glob
- Grep
- Task
- TodoWrite model: claude-3-5-sonnet x-version: 3.2.0 x-category: tooling x-vcl-compliance: v3.1.1 x-cognitive-frames:
- HON
- MOR
- COM
- CLS
- EVD
- ASP
- SPC
L1 Improvement
- Simplified the pipeline into an English-first SOP aligned with Prompt Architect constraint ordering.
- Added structure-first documentation, confidence ceilings, and memory tagging per Skill Forge.
- Clarified validation gates and rollback expectations.
STANDARD OPERATING PROCEDURE
Purpose
Run disciplined improvement cycles for any artifact (prompt, skill, doc, script) across analyze → propose → build → validate → deliver.
Trigger Conditions
- Positive: requests to improve/refine/upgrade an artifact with validation gates.
- Negative: net-new creation (route to creation skills) or emergency fixes without evaluation.
Guardrails
- Maintain structure-first docs (SKILL, README, examples/tests/references). Log deviations.
- Confidence ceilings mandatory; cite evidence and baselines.
- No skipping validation; rollback if metrics regress or confidence < threshold.
- Memory tagging for each cycle.
Execution Phases
- Intent & Constraints – Use Prompt Architect style to extract objectives, constraints, and success metrics.
- Analysis – Review current state, gather baselines, and capture risks.
- Proposals – Generate options with deltas and blast radius notes; select path.
- Build – Implement chosen changes with minimal diffs and rollback plan.
- Validation – Run tests/benchmarks/lints; compare to baselines; document outcomes.
- Delivery – Summarize changes, decisions, metrics, and confidence ceiling; archive artifacts.
Output Format
- Target artifact, goals, constraints, and selected proposal.
- Changes applied with evidence of improvement vs baseline.
- Risks, follow-ups, and rollback info.
- Confidence: X.XX (ceiling: TYPE Y.YY) and memory keys used.
Validation Checklist
- Constraints and success metrics captured.
- Baseline recorded; validation executed.
- Regression/impact analysis completed.
- Memory tagged and artifacts stored.
- Confidence ceiling declared.
Integration
- Memory MCP:
skills/tooling/improvement-pipeline/{project}/{timestamp}. - Hooks: align with Skill Forge latency bounds; integrate with eval-harness when gating is required.
Confidence: 0.70 (ceiling: inference 0.70) – Pipeline rewritten to blend Prompt Architect clarity with Skill Forge delivery gates.
Repository

DNYoussef
Author
DNYoussef/context-cascade/skills/tooling/improvement-pipeline
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Updated3d ago
Added1w ago