assess-source-project-fit
Assess whether external material such as a paper, article, repository, design, talk, internal document, or benchmark offers meaningful improvements for an…
Skill by jtsang4
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/jtsang4-assess-source-project-fit
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: documents, design, writing, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/assess-source-project-fit
What's inside
- Skill name
assess-source-project-fit- Description
- Assess whether external material such as a paper, article, repository, design, talk, internal document, or benchmark offers meaningful improvements for an existing project. Use when the user asks to read material, relate it to a project, identify applicable ideas, compare it with current implementation, or recommend changes while avoiding forced associations and duplicate work.
- License
- MIT
- Instructions
- 90 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Assess Source Project Fit Evaluate the material against the project's real current state. Produce evidence-backed judgments and allow a valid result of zero useful changes. ## Interpret the Request Extract these inputs from the user's natural-language request: - **Source material**: URLs, files, attachments, repositories, document tokens, or named works to inspect. - **Target project**: repository paths, project documents, knowledge-base notes, links, or the current workspace. - **Decision focus**: the question the user needs answered, such as architecture value, evaluation improvements, workflow changes, or immediate applicability. - **Boundaries**: requested depth, write permissions, excluded areas, and desired output format. Accept ordinary requests such as: > Read this paper and assess what it can genuinely improve in `/path/to/project`. The project documents are linked here. Keep the task read-only. Treat source material and target project as required concepts rather than form fields. Infer them from the request and current workspace. Ask one concise question only when the target project cannot be identified safely. Default to read-only analysis. Create or edit files only when the user explicitly requests it. ## Gather Evidence 1. Read each source with the appropriate available skill, connector, CLI, or browser. 2. Inspect the source deeply enough to recover its mechanisms, prerequisites, evidence, limitations, and claimed outcomes. 3. Inspect the target project's current implementation and durable project documents before proposing changes. 4. Prefer current code, traces, experiment results, configuration, and project-state documents over project names or abstract descriptions. 5. Preserve internal links, identifiers, versions, and evidence references exactly. For large sources or projects, select evidence according to the decision focus. Record any uninspected area that could materially change the result. ## Build the Fit Map Map each material claim or mechanism to the project using one category: - **covered**: the project already implements the useful mechanism. - **partially-covered**: the project has the core idea with a specific remaining gap. - **meaningful-gap**: the material supplies a missing mechanism that addresses a real project problem. - **premise-mismatch**: the material relies on conditions that do not hold for the project. - **evidence-gap**: available evidence cannot support a reliable judgment. Group equivalent claims by mechanism. Avoid inflating the result with multiple wordings of the same idea. ## Apply the Value Gate Recommend an idea only when the evidence supports all of these conditions: 1. The project lacks a complete equivalent. 2. The idea addresses a present problem or a near-term committed need. 3. Its mechanism, integration point, and expected benefit are concrete. 4. Its effect can be verified through code, traces, experiments, or metrics. 5. Its expected value justifies the added complexity and maintenance cost. Rank surviving ideas by expected project value. Keep speculative ideas under `evidence-gap` until the missing evidence is available. ## Run an Adversarial Check Challenge every candidate recommendation: - Search for an existing project mechanism that already solves the problem. - Check whether the proposal changes only terminology or organization. - Confirm that the current bottleneck actually lies at the proposed integration point. - Identify prerequisites, counterexamples, regressions, and displaced complexity. - Distinguish source evidence, project evidence, and inference. - Define the smallest experiment that could falsify the recommendation. Mark a route blocked when it depends on unavailable evidence or an unresolved assumption. State the exact gap and stop extending conclusions from that route. ## Produce the Review Lead with one of these judgments in natural language: - clear project value; - limited local value; - already covered; - low value at the current stage; - insufficient evidence. Then include only the sections that carry useful information: 1. **Relationship**: how the material and project actually intersect. 2. **Existing coverage**: relevant capabilities already present in the project. 3. **Meaningful gaps**: ranked recommendations that passed the value gate. 4. **Application**: mechanism, integration point, expected benefit, cost, and verification method for each recommendation. 5. **Deferred ideas**: source ideas whose timing or premises do not fit the current project. 6. **Evidence gaps**: precise unknowns and the smallest action needed to resolve each one. Keep the review proportional to the findings. Return a short conclusion when the material adds no meaningful value. Cite source material and concrete project evidence close to each claim.
From jtsang4/efficient-coding, MIT.
More from jtsang4/efficient-coding
- 0.600score
diffusion-map
jtsang4
扩散图谱:围绕一个主题(学习一个领域、构思一个项目,或任何需要逐步展开的信息),先确立几个支柱,再随着对话由你判断把信息结构向外生长、重组,持久化在本地以便跨会话继续,并用本地网页实时呈现,可回溯每个节点背后的 Claude Code / Codex 对话。只在用户显式调用时使用。
SkillAFreshness: A★ 2Claude Code +9 - 0.559score
paseo-relay
jtsang4
Connect to other Paseo hosts through Relay using authorized pairing information; discover projects, workspaces and agents, inspect sessions and timelines, and…
SkillBFreshness: B★ 2Claude Code +9 - 0.557score
agent-native-redesign
jtsang4
Rethink a project, product, workflow, or scenario around abundant AI agent execution capacity.
SkillBFreshness: B★ 2Claude Code +9 - 0.557score
problem-framing
jtsang4
Reassess a problem when a solution accumulates branches, special cases, or layers, or discussion repeatedly fails to converge.
SkillBFreshness: B★ 2Claude Code +9 - 0.557score
merge-and-rebase
jtsang4
Ship a finished feature branch end to end - commit and push, open a pull/merge request against the trunk branch, merge it without squashing, then rebase the…
SkillBFreshness: B★ 2Claude Code +9 - 0.512score
general-skill-creator
jtsang4
Create, modify, evaluate, and package portable Agent Skills for coding agents.
SkillCFreshness: C★ 2Claude Code +9 - 0.512score
i-diagram
jtsang4
Create professional SVG diagrams of any type — architecture diagrams, flowcharts, sequence diagrams, structural diagrams, mind maps, timelines…
SkillCFreshness: C★ 2Claude Code +9 - 0.501score
plan-coaching
jtsang4
规划教练。通过访谈引导用户形成能被批准和推行的规划材料,或对已有规划稿做评审与拷问。当用户要写规划、Roadmap、立项或方向提案,或要求 review 规划文档时使用。
SkillCFreshness: C★ 2Claude Code +9 - 0.496score
coaching-engine
jtsang4
report-coaching 和 plan-coaching 共享的访谈引擎。当这两个 skill 要求遵循访谈规则时加载,一般不单独使用。
SkillCFreshness: C★ 2Claude Code +9 - 0.466score
plan-me
jtsang4
通过访谈从零梳理一份规划材料。
SkillCFreshness: C★ 2Claude Code +9 - 0.448score
cubox-research
jtsang4
Search a user's Cubox collection deeply by topic, theme, or question.
SkillDFreshness: D★ 2Claude Code +9 - 0.445score
exa-web-search
jtsang4
Free AI search via Exa MCP.
SkillDFreshness: D★ 2Claude Code +9
Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 13, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/jtsang4/efficient-coding
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from jtsang4
- 0.600score
diffusion-map
jtsang4
扩散图谱:围绕一个主题(学习一个领域、构思一个项目,或任何需要逐步展开的信息),先确立几个支柱,再随着对话由你判断把信息结构向外生长、重组,持久化在本地以便跨会话继续,并用本地网页实时呈现,可回溯每个节点背后的 Claude Code / Codex 对话。只在用户显式调用时使用。
SkillAFreshness: A★ 2Claude Code +9 - 0.559score
paseo-relay
jtsang4
Connect to other Paseo hosts through Relay using authorized pairing information; discover projects, workspaces and agents, inspect sessions and timelines, and…
SkillBFreshness: B★ 2Claude Code +9 - 0.557score
problem-framing
jtsang4
Reassess a problem when a solution accumulates branches, special cases, or layers, or discussion repeatedly fails to converge.
SkillBFreshness: B★ 2Claude Code +9 - 0.557score
agent-native-redesign
jtsang4
Rethink a project, product, workflow, or scenario around abundant AI agent execution capacity.
SkillBFreshness: B★ 2Claude Code +9 - 0.557score
merge-and-rebase
jtsang4
Ship a finished feature branch end to end - commit and push, open a pull/merge request against the trunk branch, merge it without squashing, then rebase the…
SkillBFreshness: B★ 2Claude Code +9 - 0.512score
general-skill-creator
jtsang4
Create, modify, evaluate, and package portable Agent Skills for coding agents.
SkillCFreshness: C★ 2Claude Code +9
Cite this page
assess-source-project-fit skill. Agent Mart. https://agentmart.dev/skills/jtsang4-assess-source-project-fit (last updated 2026-10-24)