roadmap
Skill0 starsChanged 3 months agoLicence not identifiedView on GitHub
Use when the user asks what to work on next, wants to start the next thing, adds or tracks a feature, page, function or integration, initializes a project, asks what is left to build, wants work batched into parallel waves or phases, wants competing items prioritized or ranked, or the roadmap needs reconciling against reality.
48 other projects use a version of this.
Adopted by
Most recently taken up by
- gopalparashar421/agent-skillstheir own version, first seen Nov 8, 2026
- dirien/yet-another-agent-harnesstheir own version, first seen Nov 8, 2026
- Ovich/charrettetheir own version, first seen Nov 7, 2026
- ryanmoelter/plumetheir own version, first seen Nov 4, 2026
- eyssette/js-templatetheir own version, first seen Nov 1, 2026
- danielcherubini/skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use sequence, stakeholder-update 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.
GTMifySkillsequence
Build a multi-channel outreach cadence (email + LinkedIn + phone) for a target persona or named prospect. Use when the user says 'build a sequence', 'outreach cadence', 'multi-touch sequence', 'multi-channel cadence', 'follow-up sequence', or needs a coordinated multi-channel play. Do NOT use for single cold emails — use cold-email instead.
Also in 3 projects that use this
AnthropicSkillstakeholder-update
Generate a stakeholder update tailored to audience and cadence. Use when writing a weekly or monthly status for leadership, announcing a launch, escalating a risk or blocker, or translating the same progress into exec-brief, engineering-detail, or customer-facing versions.
Also in 3 projects that use this
EpistatesSkillstrategy
Plan weekly or monthly X content strategy. Use when the user wants to plan their content calendar, set growth goals, build a content pipeline, or think strategically about their X presence.
Also in 3 projects that use this
ArvorCoSkillspecify
Create feature specification from natural language description. Use when starting a new feature or creating a spec. Triggers on: create spec, specify feature, new feature spec.
Also in 3 projects that use this
GitHubSkillprd
Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.
Also in 7 projects that use this
michalattSkillchallenge
Pressure-test plans, decisions, and directions by picking and answering the most relevant challenge questions for the current conversation
Also in 3 projects that use this
Other versions48 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 48
- cloudposse/atmos★ 1.4ksame name
- me2resh/apexyard★ 542same name
- andreaskelm/pm-brain★ 235same name
- genkovich/sdd★ 187same name
- YougLin-dev/Aha-Loop★ 181same name
- Ovid/paad★ 150same name
- facebookresearch/autoform-bot★ 136same name
- Mehdibargach/claude-code-pm-skills★ 97same name
- joshuadavidthomas/agent-skills★ 49same name
- spmtitsolution/OpenBA-Kit★ 38same name
38 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 repository44 other files it gives its agents.
- skills/factory/templates/CLAUDE.mdCLAUDE.md
- agent-browserSkill
- automateSkill
- blueprintSkill
- campaignSkill
- caveatSkill
- consistencySkill
- decision-mappingSkill
- decision-matrixSkill
- endlessSkill
- factorySkill
- gate-managerSkill
- gauntletSkill
- goalSkill
- grill-with-docsSkill
- handoffSkill
- image-to-componentSkill
- impeccableSkill
- improveSkill
- learnSkill
- leekSkill
- mistake-to-gateSkill
- mutationsSkill
- not-impressedSkill
- odin-skill-managerSkill
- off-topicSkill
- oopsSkill
- out-of-scopeSkill
- project-managerSkill
- projectsSkill
- reviveSkill
- rules-distillSkill
- s2sSkill
- statusSkill
- successor-managerSkill
- successorSkill
- superplanSkill
- test-driven-developmentSkill
- tidySkill
- todoSkill
- using-superpowersSkill
- verification-before-completionSkill
- workflowsSkill
- work-loopSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 41 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 41 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.
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.
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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.

