content
Skill14 starsChanged 12 days agoApache-2.0View on GitHub
Public API: consumed as-is by adapter build scripts. For Claude, .claude/build.sh strips this manifest comment, prepends SKILL.frontmatter.yaml, and then embeds the MINIMAL-corpus methodology body (build-methodology.sh --corpus minimal, DS-204) plus content/rules/{code-standards,conventions}.md verbatim to produce the final .claude/skills/dinostack/SKILL.md (this file accounts for a fraction of that assembled artifact's size - see check-skill-embed-budget.sh); METHODOLOGY.md itself stays the FULL corpus, the sibling file a "Deferred at this corpus" pointer block in SKILL.md sends a reader to when a named trigger fires. .gemini follows the…
21 other projects use a version of this.
Adopted by
Most recently taken up by
- notque/vexjoy-agenttheir own version, first seen Nov 7, 2026
- saksham10arora-dotcom/everything-claude-codextheir own version, first seen Nov 1, 2026
- jstilb/ai-assistanttheir own version, first seen Oct 30, 2026
- KletoWorks/complex-mdtheir own version, first seen Oct 25, 2026
- whawkinsiv/solo-founder-skillstheir own version, first seen Oct 25, 2026
- whawkinsiv/claude-code-skillstheir own version, first seen Oct 17, 2026
Used with
Projects with it also use accounts, data and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
MGrinSkillaccounts
Read custom Claude and Codex subscription telemetry, switch captured Claude/Codex accounts, or see which accounts mgrin has paused in the accounts plugin.
Also in 3 projects that use this
launch52-aiSkilldata
Generate data layer code (Freezed DTOs, repository implementations, data sources) from feature specifications or API references. Creates the bridge between domain entities and external data sources. Use after /domain to implement the data layer.
Also in 3 projects that use this
nilssonrSkillseo
Full SEO workflow for auditing pages and creating SEO-optimized content. Provides checklists with educational explanations aligned with Google Search Central documentation.
Also in 7 projects that use this
insight68Skillpricing
Help figure out pricing for a product or service using minimalist entrepreneur principles. Use when someone is setting prices, considering price changes, or struggling with what to charge.
Also in 3 projects that use this
seikaikyoSkillbrand
Brand voice, visual identity, messaging frameworks, asset management, brand consistency. Activate for branded content, tone of voice, marketing assets, brand compliance, style guides.
Also in 3 projects that use this
0xSeroSkillsecurity
Also in 4 projects that use this
Other versions21 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 21
- BuilderIO/agent-native★ 7.6ksame name
- notque/claude-code-toolkit★ 448same name
- notque/vexjoy-agent★ 448same name
- whawkinsiv/solo-founder-skills★ 260same name
- whawkinsiv/claude-code-skills★ 258same name
- saksham10arora-dotcom/everything-claude-codex★ 74same name
- analystacademy/claude-skills★ 35same name
- vstorm-co/content-skills★ 22same name
- autosendhq/email-skills★ 18same name
- seo-skills/geo-audit-skill★ 4same name
11 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository17 other files it gives its agents.
- AGENTS.mdAGENTS.md
- bin/AGENTS.mdAGENTS.md
- .codex/AGENTS.mdAGENTS.md
- .github/workflows/AGENTS.mdAGENTS.md
- hooks/AGENTS.mdAGENTS.md
- .kimi/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- .cursor/rules/agent-methodology.mdcCursor rule
- .cursor/rules/code-standards.mdcCursor rule
- .cursor/rules/conventions.mdcCursor rule
- .cursor/rules/frontmatter/agent-methodology.yamlCursor rule
- .cursor/rules/frontmatter/code-standards.yamlCursor rule
- .cursor/rules/frontmatter/conventions.yamlCursor rule
- dinostackSkill
- dinostackSkill
- dinostackSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 18 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 92
Run /ds-help for the full command inventory.
“Common” is measured: kept by at least 6 in 10 of the 18 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
<!--
Purpose: Canonical body text for the dinostack skill loaded by AI coding agents.
This file is the single source of truth for the skill's instructional content;
adapter-specific frontmatter (name, description, trigger conditions) is kept
separately in each adapter's build directory and prepended at build time.
Public API: consumed as-is by adapter build scripts. For Claude, .claude/build.sh
strips this manifest comment, prepends SKILL.frontmatter.yaml, and then
embeds the MINIMAL-corpus methodology body (build-methodology.sh
--corpus minimal, DS-204) plus content/rules/{code-standards,conventions}.md
verbatim to produce the final .claude/skills/dinostack/SKILL.md
(this file accounts for a fraction of that assembled artifact's size -
see check-skill-embed-budget.sh); METHODOLOGY.md itself stays the FULL
corpus, the sibling file a "Deferred at this corpus" pointer block in
SKILL.md sends a reader to when a named trigger fires. .gemini follows the
same minimal-embed-plus-full-sibling pattern (its own build.sh). .kimi and
.copilot (.github/skills) were flipped the same way and then HELD BACK in
the same DS-204 round (runtime QA came back INCONCLUSIVE for both - no
drivable runtime on the verification host) - both embed the full corpus
unconditionally, pending a live-runtime verification path. Other adapters
differ in whether and how they consume this file, and that set has changed
as adapters were added independently - check each adapter's own build.sh
directly rather than trusting an enumeration here, which has gone stale
before.
Upstream deps: none (leaf content file; no imports or code dependencies).
Downstream consumers: .claude/skills/dinostack/SKILL.md (assembled by
.claude/build.sh), plus the per-adapter SKILL.md outputs listed
under Public API above.
Failure modes: edits here take effect for .claude after re-running .claude/build.sh.
Adapters whose SKILL.md is a static committed file will drift silently
until their own build or manual sync is run. No side effects at read time.
Performance: standard (static markdown file).
-->IMPORTANT - READ THIS FIRST: If
skill_auto_load: trueis set in~/.claude/agentic-engineering.json, this skill is configured to auto-load. Read this entire SKILL.md before taking any action on software development tasks. Do not start implementing until you have read the Rules section below.
The Agentic Engineering system defines how to plan, delegate, review, and ship software using a structured multi-agent workflow. It covers risk classification, adversarial review, task decomposition, and quality gates so that changes are correct, safe, and reviewable. Read the rules files on every session and the reference docs on the triggers described in METHODOLOGY.md §Protocol Details (read on trigger).
Early relaxed-advice routing gate. This gate applies only after activation resolves
profile=relaxed and all four canonical predicates pass. If profile is default or strict, this
gate does not apply and the motivating advisory retains its existing Elevated routing. After the
relaxed-only guard passes, apply risk classification before the first project-content read. Relaxed
ephemeral chat advice remains direct only when the answer can be produced from context already held;
otherwise classify Elevated before reading. Within that relaxed-only override, breadth alone is not
an investigation request. For the exact prompt How would you recommend changing DinoStack? in
that relaxed-only override, give bounded high-level advice from the methodology and context loaded
during mandatory skill activation, state specificity or evidence limitations when useful, and do
not explore the project merely to improve specificity. An explicit user request for unfamiliar,
repository-specific, multi-file or multi-read evidence is Elevated and delegated before any
project-content read. That explicit-request qualifier narrows only whether advisory wording
constitutes an investigation request; it does not narrow risk classification. After the four
predicates and carrier exceptions, every other canonical Elevated signal still wins, including
security-sensitive, high-stakes, state-changing, and protocol or infrastructure signals. If the
required named-agent route cannot start, report the blocker or offer only bounded context-only
advice that does not perform the requested investigation; never fall back to conductor multi-file
or project exploration.
State-changing implementation requests (implement, change, fix, or build) never qualify for this
advice exception: establish the named Engineer/Worker route before any non-mandatory project read
or command. Until that route starts, do not inspect or verify candidate work; a failed route ends
in a blocker. Canonical candidate-branch and fail-closed details:
content/sections/04-risk-classification.md §Relaxed ephemeral chat-advice override.
Conductor default: act, don't ask. The conductor's job is to complete the goal, not to approve every step. With a recommendation, act on it and report afterwards. Stop and ask only for destructive/irreversible actions, missing information only the user has, materially ambiguous acceptance criteria, scope-completion decisions, an operator-only grant, or a required operator ratification. Repeated stops within one task are a planning signal, not a virtue. See Proactive autonomy in METHODOLOGY.md §Delegation for the full rule, anti-patterns, and stop-frequency thresholds.
Rules (read these files)
- METHODOLOGY.md - the assembled kernel: delegation, risk classification, activation preflight, planning gate, task decomposition, and worktree lifecycle; the core rules for when to act directly vs. spawn Workers and Skeptics.
- rules/code-standards.md - the engineering contract for documentation evidence, tool selection, code comments, reuse, quality gates, resource use, and dependencies; detailed procedures load on trigger.
- rules/conventions.md - writing style including length discipline (write for the permanent audience), project structure, session context and memory handling, and git workflow including required PRs and worktree-per-feature conventions.
Commands (invoke by name)
/ds-help- static, zero-token command reference; lists every slash command with a one-line description./ds-status- read-only resolver dump; shows the resolved mode, profile, and marker with provenance plus a plain-English explainer of what they do and how to change them./ds-brief- interactive planning dialogue; produces the Brief artifact before architect and engineer are spawned. Invoke when operator implies planning intent at session start, or use/ds-brief --from <path>to extract a Brief from an existing PRD./ds-update- update an existing dinostack/DinoStack install (or fresh-install if none exists); invoke when the user says "pull and install DinoStack", "update DinoStack", "install the latest DinoStack", "reinstall dinostack", or "update my AE install".
Run /ds-help for the full command inventory.
Reference Docs (read on trigger - see Protocol Details in METHODOLOGY.md)
- references/skeptic-protocol.md - Skeptic loop orchestration, findings classification (Critical/Major/Minor), sign-off format, adversarial briefs, and the Elevated + Cleanup path.
- references/subagent-protocol.md - parallel spawning rules, worktree isolation, check-in behavior, phase breadcrumbs, and task decomposition rules for multi-Worker plans.
- references/agent-team.md - named agent roles (engineer, architect, investigator, debugger, security-auditor, orchestration-planner), composed flows, decision rules, and spawn requirements.
- references/design-goals.md - design principles and goals of the Agentic Engineering system; read when evaluating whether a proposed change aligns with the system's intent.
- references/regression-test-obligation.md - per-finding regression-test obligation: every Critical or Major behavior-defect finding fixed during a task must come with a regression test that would have caught it; read when fixing a Skeptic finding to confirm what counts as a valid regression test.
- references/doc-sync-obligation.md - per-change doc-sync obligation: a reality-asserting change (alters a count/list/path/convention/behavior an intent-layer doc states) must update the affected docs in the same change; read when a change touches a documented surface.
- references/role-models.md - Pi / oh-my-pi per-role model routing and antagonist
reviewer model diversity; read when resolving
role-models.ymlor spawning reviewers on Pi/omp. - references/model-discovery.md - Pi/oh-my-pi model selection paths (ask-user
wizard, harness-native, pin-by-hand) and the per-role ranking heuristics in
bin/ds-models; read when seedingrole-models.yml. - references/evidence-on-disk.md - spill/sketch/rehydrate protocol for large tool output; when to spill, the three-step loop, teardown, and ephemerality.
- references/cross-harness-teams.md -
ds-teamCLI andteam.ymlschema for orchestrating parallel agent teams across multiple AI harnesses; read when usingds-teamor configuring cross-harness dispatch withteam.yml. - references/digest-return-pattern.md - digest-return discipline: when a background loop-running spawn (multi-iteration Skeptic/QA, long investigation) returns, the conductor reads the structured digest and acts - it does not re-read the internal transcript; read when running a multi-unit plan with parallel background loops.
- references/learnings-capture-instruction.md - the standing "watch for learnings"
instruction: what counts as a learning, the in-flight
ds-learning-shard appendpath for the four roles it belongs to (engineer,adr-generator,product-discovery,release-orchestrator), thelearnings_candidate[]path for the three roles whose return contract declares that field, and its canonical definition; read when acting as any subagent role. - references/command-authoring.md - authoring discipline for commands, skills, and agent definitions: trigger-keyword descriptions (always injected into context even when unused, so enumerate when to fire, not behavior) and bad/good example-pair seeding to encode taste; read when authoring or editing a command file, skill definition, or agent definition.
- references/memory-shard-convention.md - git-tracked per-fact shard directory
(
.agentic/memory-shards/) a project's root MEMORY.md compiles from, the frontmatter every shard carries, and the split/regenerate round-trip's entry-loss and reordering refusal guards; read when working onbin/ds-memory-shard,bin/ds-memory-capture,hooks/lib/memory-shard.js, or any writer that captures a fact into a shard.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

