implementation-planning
Skill0 starsChanged yesterdayMITView on GitHub
Produce repository-evidenced implementation sequences for scoped,
14 other projects use a version of this.
Adopted by
Most recently taken up by
- HyperVon/agent-guidance-kittheir own version, first seen Nov 1, 2026
- anotb/management-consulting-plugintheir own version, first seen Nov 1, 2026
- fusebase-dev/fusebase-flowtheir own version, first seen Oct 16, 2026
- z-Zihan/Evirtheir own version, first seen Oct 13, 2026
- loganware05/captains-compass-cursortheir own version, first seen Oct 12, 2026
- m16khb-org/issueopstheir own version, first seen Sep 24, 2026
Used with
Projects with it also use security-review and systematic-debugging.
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.
SentrySkillsecurity-review
Finds exploitable application security vulnerabilities in code changes. Use for Warden security scans, appsec review, OWASP-style checks, authentication or authorization bugs, injection, XSS, SSRF, path traversal, secrets, unsafe crypto, webhook verification, open redirects, or sensitive data exposure.
Also in 3 projects that use this
OpenAISkillsystematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Also in 3 projects that use this
Other versions14 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 14
- magnus919/agent-skills★ 172same name
- anotb/management-consulting-plugin★ 62same name
- zeeshanhanif/agentic-sdlc-kit★ 17same name
- z-Zihan/Evir★ 11same name
- fusebase-dev/fusebase-flow★ 9same name
- m16khb-org/issueops★ 6same name
- karthikrshet/aiskills★ 4same name
- ChloeVPin/open-agent-skills★ 2same name
- loganware05/captains-compass-cursor★ 2same name
- HyperVon/agent-guidance-kit★ 1same name
4 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 repository34 other files it gives its agents.
- astroSkill
- bun-standardsSkill
- postgresSkill
- react-engineeringSkill
- rust-standardsSkill
- spring-bootSkill
- tailwind-v4Skill
- typescript-standardsSkill
- vitest-testingSkill
- api-designSkill
- architecture-reviewSkill
- benchmark-readiness-reviewSkill
- cli-designSkill
- codebase-scoutingSkill
- code-review-findingsSkill
- config-projection-reviewSkill
- documentation-hygieneSkill
- domain-modelingSkill
- formal-verificationSkill
- orchestration-workflowSkill
- problem-clarificationSkill
- product-copySkill
- refactorSkill
- repository-text-hygieneSkill
- researchSkill
- security-scope-reviewSkill
- setup-canastaSkill
- system-designSkill
- task-closeoutSkill
- tddSkill
- technical-writingSkill
- upstream-contributionSkill
- writing-issuesSkill
- writing-prSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 14 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Use this skill when sequencing dependencies, consequential decisions, or recovery needs make a plan useful.
- Distinctive: line 33
Treat files and symbols as exact only when confirmed by repository evidence.
- Distinctive: line 73
When the work spans many files or more than one session, write the plan to a file (the repository's plan location, or the session scratch …
- Distinctive: line 79
Prefer the smallest plan that fully satisfies the requested behavior.
“Common” is measured: kept by at least 6 in 10 of the 14 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
Implementation Planning
Use this skill when sequencing dependencies, consequential decisions, or recovery needs make a plan useful. Reuse current repository evidence; a separate scouting pass is needed only for unresolved questions. Skip a full plan for one obvious low-risk edit; state the change and focused verification instead.
Workflow:
- State the intended outcome, acceptance evidence, and non-goals. Preserve the user's actual contract rather than expanding it into adjacent cleanup.
- List material assumptions, unknowns, and decisions. Do not hide unresolved product, architecture, authority, security, or data-safety decisions inside an implementation step. Resolve choices within the authorized outcome using evidence; ask for direction when a consequential ambiguity or scope expansion cannot be resolved from the request and repository contract. A product or business-rule choice the request leaves open, such as what a total includes or which surfaces show a value, is not an implementation detail even when the code makes one answer convenient. Propose your answer and list it as an open decision for the user to confirm. For material architecture, name the simplest materially different design and the required invariant it cannot preserve. Future flexibility alone is not a sufficient reason to add permanent concepts.
- Ground the affected surface in current repository evidence. Treat files and symbols as exact only when confirmed by repository evidence; label other surfaces as candidates to verify during execution.
- Split work by coherent behavior or invariant. Prefer tracer-bullet slices:
each cuts a narrow, complete path through every layer it touches, can be
demonstrated or verified on its own, and fits one fresh context. A wide
mechanical change (a rename or retype across many call sites) instead goes
expand, migrate in batches, contract, each batch green on its own. When a
design question blocks a slice, plan a throwaway prototype that answers it
first (see problem-clarification). Each slice must leave a safe,
reviewable intermediate state and name:
- its outcome and why it is necessary;
- confirmed files, symbols, contracts, and owning surface;
- the slices that block it, and those it blocks;
- focused verification and its expected completion signal;
- rollback, roll-forward, or recovery when state or deployment can escape the repository.
- Order prerequisites before consumers. Do not parallelize slices that share a prerequisite or write surface. Mark slices independent only when their state, ownership, and verification do not conflict.
- Include contract, data, config, generated-artifact, documentation, cleanup, and surface-parity work only when evidenced consumers require it. Schedule failing behavior proof before production edits when TDD is practical, without designing or writing the test in the plan. Preserve durable rationale in its natural owner only when future maintainers need it to challenge or replace a persistent decision; do not preserve the design conversation.
- End with proportionate completion gates and residual risk. Name focused, downstream, integration, or broader gates justified by the dependency surface; do not use a ritual full-suite step as generic boilerplate.
- Re-scout and revise the plan when execution, tests, or repository changes invalidate a premise, reveal a new dependency, or broaden the surface. Remove or supersede stale steps instead of executing them ceremonially.
Output:
- objective, acceptance evidence, and non-goals;
- confirmed evidence, assumptions, open decisions, and candidate surfaces;
- numbered slices with outcome, owned surface, dependencies, verification signal, and recovery;
- final gates and residual risks.
When the work spans many files or more than one session, write the plan to a file (the repository's plan location, or the session scratch directory when it has none) and implement it in a fresh session that starts from that file. The file, not the conversation, carries the context, so research and failed attempts do not crowd the implementation.
Prefer the smallest plan that fully satisfies the requested behavior. Every step must change or verify something real. Do not invent paths, line numbers, time estimates, approvals, or rollback guarantees. A plan-only request ends with the plan. For an implementation request, proceed into authorized execution after planning and continue through verification and necessary repairs. Planning alone is not completion. A prose plan does not grant write authority, approval, or completion evidence; use the repository's structured plan, work-item, or approval system when one exists.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
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.

