Longbridge Research
helsome/folio
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry rankings, peer group…
Agent skill
by datadrivenconstruction in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Property development lifecycle in OpenConstructionERP: lead to SPA to handover — feasibility, budgeting from cost bases, sales tracking and construction handover.
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-property-dev -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction oce-property-dev --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .claude/skills && cp -r skills-src/6_OpenConstructionERP/oce-property-dev .claude/skills/oce-property-dev && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "oce-property-dev" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/6_OpenConstructionERP/oce-property-dev into .claude/skills/oce-property-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oce-property-dev", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/6_OpenConstructionERP/oce-property-devType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-property-dev -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction oce-property-dev --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .agents/skills && cp -r skills-src/6_OpenConstructionERP/oce-property-dev .agents/skills/oce-property-dev && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "oce-property-dev" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/6_OpenConstructionERP/oce-property-dev into .agents/skills/oce-property-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oce-property-dev", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-property-dev -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction oce-property-dev --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/6_OpenConstructionERP/oce-property-dev .cursor/skills/oce-property-dev && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "oce-property-dev" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/6_OpenConstructionERP/oce-property-dev into .cursor/skills/oce-property-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oce-property-dev", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git --path 6_OpenConstructionERP/oce-property-dev--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-property-dev -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction oce-property-dev --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/6_OpenConstructionERP/oce-property-dev .gemini/skills/oce-property-dev && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "oce-property-dev" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/6_OpenConstructionERP/oce-property-dev into .gemini/skills/oce-property-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oce-property-dev", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction oce-property-devInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-property-dev -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .github/skills && cp -r skills-src/6_OpenConstructionERP/oce-property-dev .github/skills/oce-property-dev && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "oce-property-dev" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/6_OpenConstructionERP/oce-property-dev into .github/skills/oce-property-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oce-property-dev", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-property-dev -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction oce-property-dev --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/6_OpenConstructionERP/oce-property-dev .opencode/skills/oce-property-dev && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "oce-property-dev" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/6_OpenConstructionERP/oce-property-dev into .opencode/skills/oce-property-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oce-property-dev", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
oce-property-devProperty development lifecycle in OpenConstructionERP: lead to SPA to handover — feasibility, budgeting from cost bases, sales tracking and construction handover.
Oce Property Dev is an agent skill from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. Property development lifecycle in OpenConstructionERP: lead to SPA to handover — feasibility, budgeting from cost bases, sales tracking and construction handover. Use for residential/commercial development projects.
Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Budgeting and forecasting. The repository describes itself as: 221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ce45bbf. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Oce Property Dev loads about 467 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 168 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction at commit ce45bbf, republished under its MIT licence (© datadrivenconstruction). 168 words, ~467 tokens.
.claude/skills/oce-property-dev/SKILL.md (or your agent's skills folder).Lead → Feasibility → Design → SPA (sale) → Construction → Handover| Stage | What the platform does |
|---|---|
| Lead | land/opportunity record, key metrics |
| Feasibility | rough budget from CWICR cost bases (m² rates), margin check |
| Design | BIM model, BOQ, detailed estimate |
| SPA | sale/presale tracking, payment milestones |
| Construction | BOQ + schedule + field modules (see oce-field-ops) |
| Handover | closeout report, as-built docs, punch closeout |
Use cost-base intensity rates (per m²) from a loaded base:
# rough budget: GFA × regional m² rate from CWICR items
gfa_m2 = 12_000
m2_rate = 1_050 # TRY/m², from cost-base roll-ups for residential
budget = gfa_m2 * m2_rateThen refine with a real BOQ as design progresses. Early-phase estimates carry ±30% — label them.
oce-field-ops).© datadrivenconstruction, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in 6_OpenConstructionERP/oce-property-dev of datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.
Open the folder on GitHubat commit ce45bbf
Oce Property Dev next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Oce Property Dev this skilldatadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction | 344 | — | ~467 | Automated safety check: Pass | MIT | |
| Longbridge Researchhelsome/folio | 269 | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Cre Asset Managementahacker-1/cre-agent-skills | 113 | 1 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Bet SizingJoelLewis/finance_skills | 205 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Dd LogsDataDog/pup | 1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Cash Flow ForecastWellApp-ai/Well | 345 | — | ~567 | Automated safety check: Pass | MIT |
helsome/folio
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry rankings, peer group…
ahacker-1/cre-agent-skills
CRE Asset Management analysis suite — 9 specialist skills for post-acquisition multifamily operations including annual budgeting, monthly variance analysis, rent collection, renewal decisions…
JoelLewis/finance_skills
Determine how much capital to allocate to individual positions within a portfolio.
DataDog/pup
Log management - search, pipelines, archives, and cost control.
WellApp-ai/Well
Forecast cash flow and runway for a Well workspace from booked invoices and collected bank transactions.
sandbaseai/sandbase-skills
Create a 30/60/90-day cash-flow forecast from AR, AP, opening cash, payment timing, and fixed-cost data.
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints.
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Estimate embodied carbon and produce ESG/climate reporting for construction: LCA per work item, material-based carbon factors, EU taxonomy and CSRD alignment.
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Material passports and circular construction: generate per-element material inventories from BOQ/BIM, mark reuse potential and recycled content, and prepare deconstruction data.
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Browse and search the OpenConstructionERP cost database: classification tree, SQL and semantic search, autocomplete, certainty badges, and the resource catalog.
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Create bills of quantities and estimates in OpenConstructionERP: search cost items, build BOQ sections, link BIM elements in bulk, validate the BOQ, and export GAEB/XLSX/JSON.
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Field operations in OpenConstructionERP: punch list, daily diary, HSE observations and task tracking on site.
Categories
Property development lifecycle in OpenConstructionERP: lead to SPA to handover — feasibility, budgeting from cost bases, sales tracking and construction handover. Oce Property Dev is an agent skill from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. Property development lifecycle in OpenConstructionERP: lead to SPA to handover — feasibility, budgeting from cost bases, sales tracking and construction handover.
Oce Property Dev fits situations like: residential/commercial development projects; tasks that involve Budgeting and forecasting.
Run `npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-property-dev -a claude-code`. Or copy the skill folder (6_OpenConstructionERP/oce-property-dev in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction) into .claude/skills/oce-property-dev in your project. Claude Code loads it when a task matches its description.
Run `npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-property-dev -a codex`. Or copy the skill folder (6_OpenConstructionERP/oce-property-dev in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction) into .agents/skills/oce-property-dev in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-property-dev -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/oce-property-dev, .gemini/skills/oce-property-dev, .github/skills/oce-property-dev and .opencode/skills/oce-property-dev in your project.
SKILL.md names no scripts, command-line tools or credentials: Oce Property Dev is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Oce Property Dev is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 467 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Oce Property Dev: Longbridge Research (helsome/folio, 269 stars), Cre Asset Management (ahacker-1/cre-agent-skills, 113 stars), Bet Sizing (JoelLewis/finance_skills, 205 stars) and Dd Logs (DataDog/pup, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
datadrivenconstruction (a GitHub user) maintains it in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction, which has 344 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on August 22, 2026.
Source: datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.