Search Results for "refinement" | AgentCC

agentic-eval

Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality

scientific-schematics

Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

prompt-library

Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks.

sparc-methodology

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

sparctddarchitecture+3

scientific-schematics

Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

infographics

Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.

gemini-imagegen

This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

reviewing-changes

Guides Android code reviews with type-specific checklists and MVVM/Compose pattern validation. Use when reviewing Android PRs, pull requests, diffs, or local changes involving Kotlin, ViewModel, Composable, Repository, or Gradle files. Triggered by "review PR", "review changes", "check this code", "Android review", or code review requests mentioning bitwarden/android. Loads specialized checklists for feature additions, bug fixes, UI refinements, refactoring, dependency updates, and infrastructure changes.

ai-multimodal

Process and generate multimedia content using Google Gemini API. Capabilities include analyzing audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understanding images (captioning, object detection, OCR, visual Q&A, segmentation), processing videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extracting from documents (PDF tables, forms, charts, diagrams, multi-page), generating images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.

cultivation-chronicle

Cultivation Chronicle — a text-adventure cultivation RPG. Players begin as mortals and cultivate through seven major realms: Qi Refinement, Foundation Establishment, Golden Core, Nascent Soul, Spirit Transformation, Tribulation, and Ascension. Through choices they shape their Dao-heart and ultimately complete the path of cultivation. Supports reincarnation inheritance, character growth, and an item/technique system. Suitable for cultivation-themed stories, role-playing, and text-adventure scenarios.

meeting-minutes-taker

Transforms raw meeting transcripts into high-fidelity, structured meeting minutes with iterative review for completeness. This skill should be used when (1) a meeting transcript is provided and meeting minutes, notes, or summaries are requested, (2) multiple versions of meeting minutes need to be merged without losing content, (3) existing minutes need to be reviewed against the original transcript for missing items, (4) transcript has anonymous speakers like "Speaker 1/2/3" that need identification. Features include: speaker identification via feature analysis (word count, speaking style, topic focus) with context.md team directory mapping, intelligent file naming from content, integration with transcript-fixer for pre-processing, evidence-based recording with speaker quotes, Mermaid diagrams for architecture discussions, multi-turn parallel generation to avoid content loss, and iterative human-in-the-loop refinement.

ai-prompting

Effective communication strategies for AI-assisted development. Learn context-first prompting, phased interactions, iterative refinement, and validation techniques to get better results from Claude and other AI coding assistants.

axiom-swiftui-search-ref

Charleswiltgen Axiom Axiom Swiftui Search Ref

Use when implementing SwiftUI search — .searchable, isSearching, search suggestions, scopes, tokens, programmatic search control (iOS 15-18). For iOS 26 search refinements (bottom-aligned, minimized toolbar, search tab role), see swiftui-26-ref.

counterexample-guided-refinement

Implement CEGAR for synthesis and verification workflows

crystallography-analysis

Advanced skill for crystallographic structure analysis and determination including space group identification, atomic position refinement, and PDF analysis

outline-refiner

Planner-pass coverage + redundancy report for an outline+mapping, producing `outline/coverage_report.md` and `outline/outline_state.jsonl`. **Trigger**: planner, dynamic outline, outline refinement, coverage report, 大纲迭代, 覆盖率报告. **Use when**: you have `outline/outline.yml` + `outline/mapping.tsv` and want a verifiable, NO-PROSE planner pass before writing. **Skip if**: you don't want any outline/mapping diagnostics (or you have a frozen/approved structure and will not change it). **Network**: none. **Guardrail**: NO PROSE; do not invent papers; only report coverage/reuse and propose structural actions as bullets.

Iterative Loop

proffesor-for-testing

Implement continuous AI iteration loops for complex development tasks. Use when building features requiring test-driven refinement, implementing tasks with clear success criteria, or automating iterative improvement workflows. Based on the Ralph Wiggum technique from Claude Code plugins.

qcsd-refinement-swarm

proffesor-for-testing

QCSD Refinement phase swarm for Sprint Refinement sessions using SFDIPOT product factors, BDD scenario generation, and requirements validation.

qcsdrefinementsfdipot+6

qcsd-development-swarm

proffesor-for-testing

QCSD Development phase swarm for in-sprint code quality assurance using TDD adherence, code complexity analysis, coverage gap detection, and defect prediction. Consumes Refinement outputs (BDD scenarios, SFDIPOT priorities) and produces signals for Verification.

qcsddevelopmenttdd+9

sparc-methodology

proffesor-for-testing

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

sparctddarchitecture+3

qe-sparc-methodology

proffesor-for-testing

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

code-refinement

Analyze and improve living code quality: duplication, algorithmic efficiency, clean code principles, architectural fit, anti-slop patterns, and error handling robustness. Use when improving code quality, reducing AI slop, refactoring for clarity, optimizing algorithms, applying clean code principles. Do not use when removing dead/unused code (use conserve:bloat-detector). reviewing for bugs (use pensive:bug-review). selecting architecture paradigms (use archetypes skills). This skill actively improves living code, complementing bloat detection (dead code removal) with quality refinement (living code improvement).

refactoringclean-codealgorithms+3

coot-model-building

Best Practices for Model-Building Tools and Refinement

coot-refinement

Best practices for protein structure refinement and validation in Coot. Use when performing (1) Residue refinement operations, (2) Model building and fitting, (3) Rotamer fixing, (4) Scripted/automated refinement workflows, (5) Validation and correlation checking.

gemini-imagegen

Generate and edit images using the Gemini API (Nano Banana Pro). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

reviewing-changes

Android-specific code review workflow additions for Bitwarden Android. Provides change type refinements, checklist loading, and reference material organization. Complements bitwarden-code-reviewer agent's base review standards.

ring:brainstorming

Socratic design refinement - transforms rough ideas into validated designs through structured questioning, alternative exploration, and incremental validation.

gemini-image-gen

Guide for implementing Google Gemini API image generation - create high-quality images from text prompts using gemini-2.5-flash-image model. Use when generating images, creating visual content, or implementing text-to-image features. Supports text-to-image, image editing, multi-image composition, and iterative refinement.

sc-gemini-imagegen

kylesnowschwartz

Generate and edit images using the Gemini API (Nano Banana Pro). This skill SHOULD be used when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

reading-logs

Analyzes logs efficiently through targeted search and iterative refinement. Use when investigating errors, debugging incidents, or analyzing patterns in application logs.

writing

Handle structured co-authoring of professional documentation. Use for proposals, technical specs, and RFCs. Use proactively when a collaborative drafting process (Gathering -> Refinement -> Testing) is needed. Examples: - user: "Draft a technical RFC for the new API" -> follow Stage 1 context gathering - user: "Refine the introduction of this proposal" -> use iterative surgical edits - user: "Test if this document is clear for readers" -> run reader testing workflow

loop

Ralph Loop pattern with swarm mode: iterative execution until VERIFIED_DONE with multi-agent coordination. Use when: (1) iterative refinement needed, (2) quality gates must pass, (3) automated validation required. Triggers: /loop, 'loop until done', 'iterate', 'keep trying', 'fix until passing'.

Brainstorming Ideas Into Designs

Interactive idea refinement using Socratic method to develop fully-formed designs

1C Feature Development

Arman-Kudaibergenov

Full development cycle for 1C customizations — from analysis to implementation with BSP compliance. 9 phases: estimation, discovery, codebase research, requirement refinement, design, plan review, implementation, code review, and wrap-up.

sam-cell-seg

This skill provides guidance for tasks involving MobileSAM or Segment Anything Model (SAM) for cell segmentation, mask refinement, and polygon extraction from images. Use when working with SAM-based image segmentation pipelines, converting masks to polygons, processing CSV-based coordinate data, or integrating deep learning segmentation models into processing scripts.

sre-task-refinement

Use when you have to refine subtasks into actionable plans ensuring that all corner cases are handled and we understand all the requirements.

analyzing-test-effectiveness

Use to audit test quality with Google Fellow SRE scrutiny - identifies tautological tests, coverage gaming, weak assertions, missing corner cases. Creates bd epic with tasks for improvements, then runs SRE task refinement on each.

motion-design

Provides motion design guidance for UI components. Triggers on animation requests ("animate this", "add transition", "motion for"), refinement requests ("clean up this animation", "clean up the motion", "this feels too fast/slow", "make this feel more alive/natural"), and questions about easing, timing, or micro-interactions.

dspy-output-refinement-constraints

This skill should be used when the user asks to "refine DSPy outputs", "enforce constraints", "use dspy.Refine", "select best output", "use dspy.BestOfN", mentions "output validation", "constraint checking", "multi-attempt generation", "reward function", or needs to improve output quality through iterative refinement or best-of-N selection with custom constraints.

dag-iteration-detector

Identifies when task outputs require iteration based on quality signals, unmet requirements, or explicit feedback. Triggers appropriate re-execution strategies. Activate on 'needs iteration', 'retry needed', 'not good enough', 'try again', 'refine output'. NOT for feedback generation (use dag-feedback-synthesizer) or convergence tracking (use dag-convergence-monitor).

dagfeedbackiteration+2

Brainstorming Ideas Into Designs

Interactive idea refinement using Socratic method to develop fully-formed designs

interview

Interview about a plan file to refine it through in-depth questioning. Use when you have a plan that needs validation, refinement, or deeper exploration before implementation. Triggers on "interview me about", "refine this plan", "question this spec".

apr

Dicklesworthstone

Run APR (Automated Plan Reviser) workflow for FCP specification refinement. Use when asked to run APR, revision rounds, spec review, integrate GPT feedback, or harmonize docs. Handles Oracle remote setup, running rounds, integrating feedback, and syncing README/implementation docs.

small-to-before-research

Transform vague or informal prompts into structured, precise prompts optimized for the researchCodebase agent. Use when preparing to launch codebase research and the user's request needs refinement for better results.

AI Writing Assistant

melodic-software

Leverage AI tools effectively for professional writing tasks. Provides prompt patterns, refinement workflows, voice-preservation techniques, and quality checkpoints for AI-augmented drafting.

prompt-improvement

melodic-software

Meta-skill for improving and optimizing prompts using Anthropic's prompt engineering best practices. Provides the 4-step improvement workflow (example identification, initial draft, chain-of-thought refinement, example enhancement), keyword registries for documentation lookup, and decision trees for improvement strategies. Use when improving prompts, optimizing for accuracy, adding chain-of-thought reasoning, structuring with XML tags, enhancing examples, or iterating on prompt quality. Delegates to claude-ecosystem:docs-management skill for official prompt engineering documentation.

writing-dna-discovery

Capture a writer's voice DNA through collaborative interview and sample analysis. Use when someone wants to document their writing voice for use with a ghost writer skill. Produces a Voice DNA Document with patterns, anti-patterns, and actionable guidance. Handles one register/mode per session, supports refinement over time.

ghost-writer

Produce first drafts that match a writer's authentic voice using their Voice DNA Document. Consumes DNA documents from writing-dna-discovery skill. Generates 2 meaningfully different drafts with headlines, confidence assessment, decision notes, and DNA refinement suggestions. Collaborative partner that evaluates, pushes back, and advocates for quality. Handles blog posts, essays, newsletters, and more.