AI & LLM Skill
Agent Eval Suite Langsmith
Production agent eval suite LangSmith dataset curation + Promptfoo assertion framework +…
$15
Context Driven Development
When working with Conductor's context-driven development methodology, managing project context…
A disciplined methodology for managing project context as a first-class artifact that lives alongside your code, so AI assistants and team members always work from the same, current source of truth. It establishes five canonical context files: product vision, technology stack, workflow, work tracks, and communication guidelines, and keeps them synchronized as the project evolves. The result is consistent AI behavior across every session and faster onboarding for new engineers.
$15 one-time
Add to a kit → Prices include 20% VAT. · Forged on real agency work · one-time, no lock-in
- Type Skill
- Category AI & LLM
- Delivery Email · instant
- License One-time
Inside the run · no black box
See the actual work before you buy it.
Product, stack, workflow, tracks, guidelines: five artifacts, each owning one question, no fact duplicated. The loop validates them before any work unit, propagates changes along dependencies and writes session state back afterward.
- Establishes five canonical artifacts, each the single source of truth for one question: what and why (product), with what (tech stack), how to work (workflow), what is happening (tracks), and how to communicate (guidelines); the same fact is never duplicated across two files
- Before any work unit starts, reads all artifacts and runs a validation checklist; stale information gets updated first, implementation second, because building on outdated assumptions is rewritten code
- For existing codebases, extracts implicit context: package manifests fill the tech stack, CI configs fill the workflow, and undocumented working patterns get formalized rather than overwritten
- Propagates every change along the dependency graph: a new feature triggers a dependency check, which triggers a workflow check, which spawns a tracked work unit
- Couples documentation to commits: a dependency change without a matching tech-stack update raises a warning, and a completed track flips its feature from planned to implemented
- At session end, writes progress, blockers and decisions back into the track plan, so the next session, human or AI, resumes from recorded state instead of someone's memory
One power source. 6 lines out.
context-driven-development · core
core active · 6 lines
- ✓ setting up a brand-new p…
Setting up a brand-new project so standards exist before any code is written
- ✓ extracting implicit cont…
Extracting implicit context from an existing codebase into documented artifacts
- ✓ keeping ai assistants al…
Keeping AI assistants aligned across multiple development sessions
- ✓ onboarding a new team me…
Onboarding a new team member to an unfamiliar project quickly
- ✓ deciding which document
Deciding which document a new technical decision belongs in
- ✓ running a context valida…
Running a context validation gate before starting a new work track
Yours to keep.
Drag time forward. Watch what stays.
Forever
That's what owning means.
The rented stack
ai writing tool: subscription
expired · access lostanalytics suite: subscription
expired · access lostdesign platform: subscription
expired · access lost(nothing left)
Your forge
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AI assistants produce aligned output session after session instead of drifting
license: perpetual -
New engineers reach productive output faster with explicit, readable context
license: perpetual -
Decisions and their rationale survive team changes as institutional memory
license: perpetual -
Stale-context rework is caught early instead of being built on wrong assumptions
license: perpetual
subscriptions expire · deeds don't
Everything in the box.
Pick a piece up. Watch it work.
The Context to Spec & Plan to Implement workflow with phased execution
6 parts · one working system · ships instantly by email
This wasn't forged for everyone.
- Not for you if you'd rather rent a tool than own one.
- Not for you if you want someone else to run your stack.
- Not for you if you're happy guessing.
Engineering teams and AI-assisted developers who want consistent, persistent project context instead of scattered docs and ad-hoc prompts.
then this was forged for you.Works with
Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
- Claude Native format
- ChatGPT Adapts via open standards
- Gemini Adapts via open standards
- Cursor Adapts via open standards
- Copilot Adapts via open standards
Catch what's on your mind.
the air is clear. nothing between you and the forge.
catch a spark: the forge will answer
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Does this only fit a brand-new project, or can I apply it to an existing codebase?
Both, because it sets up standards before code on a new project and can also extract implicit context out of an existing codebase into the same five files. Greenfield and legacy each have an entry point.
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How are these five files different from docs that always rot?
They are first-class artifacts that live next to the code and get updated as work happens, not a wiki you forget. Keeping them current is the discipline, and the payoff is people and AI assistants reading one source instead of guessing.
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Does it replace my issue tracker or enforce a process?
No, it defines the context layer of vision, stack, workflow and work tracks that your tracker and process sit on top of. It aligns everyone on the same truth, but it does not run your sprints for you.
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How is it delivered?
By email right after purchase: ready to run, downloaded instantly, no setup wait.
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One-time or subscription?
A one-time purchase; no subscription or hidden fees. VAT (20%) is included.
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Can I get a refund?
As a digital product, it can’t be refunded once downloaded. That’s why we show exactly what’s inside and who it’s for, right here.