Conductor gives its cloud a deletion date
Conductor Cloud sets November shutdown and export dates; Home Assistant absorbs HACS; SlackBench compares message-search tools with direct access to files
[!] OPERATING LAYER / PLAIN-TEXT SOVEREIGN OS
self.md maps the layer above the model: memory, tools, connectors, local runtimes, browser agents, coding workbenches, receipts, and boundaries.
Start with the operating problem. Pick the smallest stack that can act, remember, and prove what it did.
NEW A TOOLKIT BY SELF.MD
Good skills. Selected with care.
Chosen by your agent when it needs them.
70 carefully selected workflows for code, design, marketing, research, and writing. One MCP connection puts the whole toolkit within reach.
€8/ month
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CURATED AGENT WORKFLOWS
All 70 skills included in every subscription.
Ship reliable software, from API contracts to production debugging.
Define a request and response contract that both client and server can verify.
Locate expensive SQL and verify an index or query change with execution evidence.
Change a persisted schema without stranding existing readers or writers.
Measure a slow user action and isolate where its time is spent.
Check that a caller can only read or change resources they own or may access.
Build a resilient end-to-end check around one business-critical action.
Make asynchronous work restartable and safe to process more than once.
Upgrade a package with a clear compatibility and rollback check.
Reproduce a failure, isolate its cause, and prove that the fix works.
Find actionable defects in a change and explain their user impact.
Check the original user flow and turn completion claims into evidence.
Find the routes, state, and boundaries that matter before touching unfamiliar code.
Make a network-dependent flow recover cleanly when the service does not.
Turn an open-ended request into a small plan with a clear finish line.
Shape clear interfaces with consistent systems and usable interactions.
Make a screen readable with a consistent type scale and content hierarchy.
Adapt a real screen to narrow widths without losing its primary action.
Help a user correct invalid input and finish a form without losing work.
Move a new user to a first useful result with minimal setup.
Find inconsistent components and consolidate them around existing tokens.
Make dense records easy to scan, compare and act on.
Keep an interface understandable before content arrives or when none exists.
Validate a risky interaction before building its full implementation.
Build a consistent screen with the components and tokens already in the project.
Walk the key interaction with a keyboard and repair barriers to completion.
Find the right audience and turn useful product proof into demand.
Choose a reachable group with a specific problem and reason to buy.
Explain why a particular customer would choose this product over their workaround.
Turn a product use case into short videos with a clear hook and demonstration.
Coordinate a small product launch around one audience and a working offer.
Find where a landing page loses a qualified visitor before the next action.
Draft a permission-based email sequence that moves readers toward a useful action.
Map search queries to pages that answer a real customer question.
Test one acquisition hypothesis with a bounded spend and a useful decision rule.
Locate the largest verified loss between interest, purchase and first value.
Organize verifiable product evidence into useful proof for a sales page.
Test demand, choose a viable offer and run a sustainable small business.
Test whether a specific problem is painful enough to support a paid product.
Estimate whether each customer can contribute enough margin to sustain acquisition.
Design an honest price test that can inform a small product decision.
Compare the options a buyer can realistically choose, including doing nothing.
Estimate cash runway under explicit revenue and spending assumptions.
Choose the next small product investment from evidence and available capacity.
Understand which customers keep paying and where recurring value breaks down.
Compare a custom solution with a purchased service using total operating cost.
Turn an open-ended request into a small plan with a clear finish line.
Answer a focused question with current evidence and traceable sources.
Turn evidence and ideas into clear stories, guides and product copy.
Build an article structure around one reader question and supported argument.
Revise a draft to match a provided voice without changing its meaning.
Write concise interface labels and messages that help users complete a task.
Guide a reader from a known starting point to a verified working result.
Shape interview material into a readable story while preserving attribution.
Explain a real problem, intervention and outcome with evidence a reader can inspect.
Verify the material claims in a draft before publication.
Make a consequential choice easy to review from evidence and explicit tradeoffs.
Adapt one verified source into several formats without inflating its claims.
Turn a rough brief into direct copy that keeps the facts intact.
Make trustworthy measurements and explain what the numbers mean.
Establish whether a dataset is reliable enough to answer the intended question.
Make a business metric reproducible with explicit eligibility and time rules.
Compare groups at the same age to understand how behavior develops over time.
Specify an experiment that can support a credible product decision.
Break a metric movement into verified drivers before recommending a response.
Create an interpretable forecast and quantify how uncertain it is.
Arrange a small set of trustworthy metrics around recurring decisions.
Check that a query answers the business question without hidden counting errors.
Size a reachable opportunity with transparent assumptions and useful ranges.
Answer a focused question with current evidence and traceable sources.
Turn customer problems into focused decisions and verifiable releases.
Align a small product change around a user problem and measurable outcome.
Prepare interviews that uncover actual behavior instead of collecting polite agreement.
Trace a user from a real trigger to an outcome across product and support boundaries.
Reduce a product idea to the smallest complete test of its riskiest assumption.
Turn a vague feature request into behavior that a reviewer can verify.
Group incoming feedback into evidence-backed problems without overcounting loud requests.
Release a change in stages with clear health checks and a recovery path.
Turn a completed product effort into a small set of accountable improvements.
Turn an open-ended request into a small plan with a clear finish line.
Check the original user flow and turn completion claims into evidence.
You bring the task.Your agent picks the skill.
The map for tools, memory, receipts, workflows, registry entries, and stack recipes.
The concept before tool shopping begins.
Layers, loops, custody, boundaries, and receipts.
■ 02 / OPERATORS
Working patterns from people who built the tools, documented the loops, and kept humans in control.
OPERATOR / 01Digital gardens as working context, not content furniture.
OPERATOR / 02Research loops that turn pages into reusable working context.
OPERATOR / 03Vibe coding as an operator workflow with taste and review.
OPERATOR / 04Prompts compiled into programs that can be inspected and improved.
OPERATOR / 05Software in the AI era: vibe coding for prototypes, three-layer workflow for production.
OPERATOR / 06Breaking complex AI reasoning into verifiable subtasks with human oversight.
OPERATOR / 07Small tools, SQLite logs, and rapid experiments that keep the loop inspectable.
Agents that learn across virtual and physical worlds through reusable skills.
■ 03 / CURRENT SIGNALS
Short, source-backed readings from the edge of personal AI systems.
Showing 1–3 of 8 signals
■ 04 / LIBRARY
Every surface has explicit boundaries, code snippets, and evidence.
Mental models, architecture, context engineering, and failure modes.
Practical step-by-step implementations with tests and diffs.
Installable agent toolpacks, Claude Code plugins, and MCP bundles.
Control surfaces, local runtimes, memory engines, and coding workbenches.
Operators running AI as their daily OS with public recipes.
Weekly radar dispatches on agent protocols, memory, and tooling.