Methodology / documentation only
Prose-only artifact. Useful for taxonomy, not deployable.
20 primary frameworks · 28 lower-confidence entries
Provides a first-principles, research-grounded vocabulary and learning path for context engineering — the discipline of designing the complete information…
Teach harness engineering from first principles (12 lectures + 6 projects) and provide a scaffolding skill (harness-creator) that creates the five subsystems…
Curate the authoritative reference list of articles, benchmarks, and tools for harness engineering — the practice of shaping the environment around AI agents…
Custom instructions + 6-file hierarchical Markdown memory bank so Cline maintains full project context across sessions, with a .clinerules learning journal for…
Provides a formal pattern language for making reasoning explicit, traceable, and publishable in mixed human/AI engineering work — addressing semantic drift,…
Provide a practical, code-first reference guide to harness engineering — from first principles to production patterns — maintained by a managed agent platform…
Synchronize AI coding-agent knowledge files (rules, guidelines, templates) from a central source to multiple AI-tool-specific destinations via copy or symlink.
Curated research comparison of 12 spec-driven development tools with graded use-case scoring, decision frameworks, and the SDD Maturity Levels taxonomy…
Ports GitHub Spec Kit's spec-driven development workflow to Cline via eight procedural workflow files.
Point-in-time taxonomy snapshot (April 2026) of projects self-describing as AI agent harnesses, with etymology notes on the 'harness' vs 'framework' vs…
Teach developers the four-phase SDD workflow (Research → Specification → Refinement → Implementation) through real-world planning scenarios before writing any…
Unknown — Reddit-only reference; no public implementation found.
Provide a Chinese-language knowledge graph and 4-phase learning path for systematically mastering AI agent harness engineering.
Unknown — Reddit-only reference; no public implementation found.
TypeScript-typed, composable workflow step machines that guide AI agents through structured multi-step development procedures with resume capability and…
Embed spec-first discipline into any AI agent via AGENTS.md instructions: always read the spec first, never implement undocumented behavior, stop and request…
Defines a minimal two-part spec contract (outcome + test gates) that compels verifiable thinking before agentic implementation, with zero tooling dependencies.
Official Cline documentation for the memory bank pattern: six hierarchical Markdown files providing cross-session project context via custom instructions.
Single CLAUDE.md file injecting the complete Kiro spec workflow (requirements → design → tasks → one-task-at-a-time execution) into Claude Code via system…
Dual-format (Cursor + GitHub Copilot) gist providing Kiro-style SDD slash commands without any installation requirements.
Show 28 lower-confidence entriestier-b · tier-c · unknown · delta reports
These entries map to § a13 by tag but carry weaker evidence — fewer documented primitives, delta reports of absent skills, or marketing-only sites without a public repo. They're listed for completeness; treat them with appropriate caution.
20-lesson trilingual harness engineering curriculum teaching Claude Code internals from agent loop fundamentals to autonomous teams, MCP plugins, and worktree i…
A simple, open format specification for per-repo markdown files that guide AI coding agents across all tools — README.md for agents.
Open standard specification for portable AI agent skill packages, enabling one skill to work across Claude Code, Gemini CLI, Codex, and any compliant agent.
Reverse-engineered reference of all 220+ internal Claude Code system prompts, tool descriptions, and agent instructions, tracked across 187 versions.
Curated awesome-list index of 50+ Claude Skills across 14 categories — a discovery surface, not a framework.
Comprehensive educational reference for Claude Code with 28-CVE security database, 271-question quiz, 181 templates, and companion MCP server for content naviga…
Four-stage methodology + PAG instruction syntax + 5 personas to enforce behavioral consistency across web browser and CLI AI sessions — prevents vibe coding via…
RFC-style competing format standard to AGENTS.md: one universal AGENT.md file replaces tool-specific config files (.cursorrules, CLAUDE.md, .windsurfrules) via …
Convert a raw app idea into a coding-agent-ready implementation spec through guided multi-phase conversation with live visual design previews.
Apply Infrastructure-as-Code principles to AI development processes — spec-as-code, testing-as-code, context-engineering-as-code — for systematic, measurable AI…
Demonstrates spec-first Power BI semantic model development using powerbi-modeling-mcp with BPA-enforced quality loops.
Twelve prescriptive factors for integrating AI coding agents into team SDLC — addressing coordination failures, knowledge silos, and governance gaps that indivi…
Teaches petroleum engineers to use Claude Code through domain-authentic exercises, with a reviewer subagent that checks unit consistency, correlation applicabil…
Written guide teaching the paradigm shift from hands-on coder to AI development director using Claude Code.
Teaches developers the Kiro IDE's spec-driven development workflow through hands-on labs for both greenfield and brownfield scenarios.
Minimal OpenAI Codex starter with a container setup script, AGENTS.md behavioral guide, and reference docs for code quality workflows (twelve-factor, pragmatic …
Generates AI context files from codebase git history and import graph, capturing hidden co-change couplings and hub file blast radius that agents consistently m…
Personal study notes documenting Claude Code features with emphasis on spec-driven development workflow.
Eliminate implicit AI coding decisions by making scope, constraints, and task boundaries explicit in versioned markdown files with human approval gates.
Single-file paste-in methodology that engineers AI behavior via probability theory, with a Scope Routing table that maps error-state count to implementation rou…
unknown — Reddit reference only, no public repository found
Orchestrator-subagent dispatch pattern for task breakdown — not a standalone framework.
Onboarding AI agents and developers into large organically-grown ('vibe-coded') monolith codebases.
Session-compounding learnings extractor: each AI coding session feeds learnings back into future sessions, creating a compounding knowledge flywheel.
Blog-published software development methodology — no packaged framework available.
Three markdown files (Create PRD, Generate Tasks, Iterate Task) enforce the discipline of spec-before-code and atomic task execution.
Validates task specifications before AI agent execution, refusing to proceed on vague or underspecified tasks — not a standalone locatable framework.
A framing of BMAD-METHOD's web-UI planning phase for non-technical founders who want to use AI agents to produce project blueprints without writing code.